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Design, build, and maintain full-stack services and APIs for 401(k) management, collaborating with product and operations teams to ensure reliability and observability. | 8+ years software engineering experience with strong backend framework skills, message-based systems, GraphQL, React, and end-to-end system ownership. | About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy. AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. About the Role: You’ll be a key engineer focused on building and owning the systems that allow tens of thousands of businesses to offer and manage 401(k)s. This is a very hands-on role: owning full stack services and APIs end-to-end, shipping production code, and evolving the architecture to support future needs. You’ll partner closely with product, compliance, and operations to turn complex financial requirements into reliable software. If you like solving hard problems and having a real impact on people’s lives, then we want to work with you. About the Team: The Core 401(k) team makes offering a 401(k) to employees a no brainer for every company. We’re responsible for ensuring companies don’t have to think about complex laws, rules, and regulations. We build features and capabilities for small businesses that are often unavailable through legacy providers. What we do matters. Hundreds of thousands of people are trusting us with their retirement, and that’s something we never lose sight of. Here’s what you’ll do day-to-day: Design, build, maintain, and ship services and features that allow companies to offer and manage 401(k)s to their employees. Identifying opportunities to extend and modify the architecture of existing systems to support new capabilities Identify, codify, and evangelize engineering best practices Partner with product, design, and operations to scope work and deliver production-ready solutions. Debug production issues and improve reliability, observability, and operational tooling. Collaborate with other engineering teams to integrate with shared systems and platforms. Write clear, reliable, well-tested code that ships quickly and scales well. Here’s what we're looking for: 8+ years of software engineering experience building and shipping production products or platforms. Comfortable working across teams and gaining influence to drive projects forward. Strong experience with services and APIs. Strong experience with message based systems (Sidekiq, SQS, NServiceBus, etc.) Experience with GraphQL. Good experience with large modern frontend applications (like React). Comfortable owning systems end-to-end, including production support and operational work. Experience working closely with PMs and cross-functional partners to deliver scoped work. Pragmatic, execution-focused approach to engineering. Comfortable working with and influencing other teams to maximize impact Clear communicator and collaborative teammate. Experience with Ruby on Rails (or a comparable backend framework). Our cash compensation amount for this role is targeted at $163,000–$204,000 in Denver & most remote locations, and $197,000–$247,000 for San Francisco & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

Design and deliver production-grade AI and agentic systems, own architecture, observability, and cost management, and collaborate with product and engineering teams. | 6+ years software engineering with 2+ years shipping production LLM or ML systems, strong Python and cloud infrastructure skills, and experience with agentic workflows and retrieval systems. | Who We Are Maxwell is a mortgage technology and fulfillment company on a mission to make lending simpler, faster, and more accessible. Our platform powers hundreds of lending institutions across the country, from independent mortgage banks and credit unions to community banks. Our mortgage Point of Sale is our flagship product, supported by loan origination, document intelligence, and private-label fulfillment capabilities. We are a remote-first team that takes craft seriously and moves with intention. We are building a cutting-edge AI company in mortgage technology. Our document intelligence capabilities are live in production today. This role exists to accelerate what we have and ship the next generation of AI and agentic systems. Who You Are You are an applied AI engineer who ships. You have taken LLM-based systems and agentic workflows from prototype to production, and you know what that requires: evals, observability, cost management, latency tuning, error handling, and iteration. You have opinions about agent frameworks and architectures, built from what you have shipped. You are also pragmatic enough to pick the right tool for the job rather than force a favorite into every problem. You read new research, try new approaches, and form your own view on what holds up in production. You work across the stack. You can design a retrieval system, wire up tool calls, build an eval harness, debug a production outage, and explain your choices to a product manager or an executive in the same day. What You Will Own Your scope from day one includes: Design and delivery of production AI and agentic systems across document intelligence, workflow automation, and copilots Architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation Evals and observability for production AI. You own how we know the system is working and how we catch it when it is not Cost and latency management at production volume Partnership with AI product on scoping and sequencing features Partnership with data engineering on the pipelines, schemas, and data quality your systems depend on Technical mentorship of other engineers working on AI-adjacent systems Vendor and model evaluation, including POCs, benchmarks, and cost-performance tradeoffs Must Haves 6+ years of software engineering experience, with at least 2 years focused on shipping production LLM-based or ML systems. Demonstrated experience building and deploying agentic systems, including tool use, orchestration, and multi-step workflows. Strong Python proficiency, including production-grade code quality, testing, and deployment practices. Hands-on experience with LLM APIs (Anthropic, OpenAI, AWS Bedrock, or similar), including prompt design, structured outputs, and function calling Production experience with evals and observability for LLM systems. You know how to measure accuracy, detect regressions, and monitor drift. Experience with retrieval systems (RAG), vector databases, and embedding models. Fluency with cloud infrastructure (AWS preferred), including serverless, containers, and API design. Clear written and verbal communication skills with the ability to write design docs,.explain tradeoffs, and collaborate with product and engineering peers. Ownership mindset - Ships work end-to-end rather than handing off. Nice to Haves Fintech, mortgage, or regulated industry experience Experience with document AI, OCR pipelines, or structured extraction workflows Familiarity with AWS Bedrock, SageMaker, or equivalent cloud AI services Experience with modern agent frameworks (LangGraph, CrewAI, AutoGen, custom) and a clear point of view on when each is appropriate Experience with modern data warehouses (Snowflake, BigQuery) and transformation tools (dbt) Contributions to open source AI or ML projects Experience operating production systems on-call What Success Looks Like Within 60 days, you have shipped a meaningful improvement to an existing AI capability or a new one into production Within 90 days, evals and observability are in place for the systems you own AI systems run reliably at production volume with predictable cost and latency Other engineers on the team ship AI work faster and with higher quality because of the patterns and tooling you have established You are the person product and engineering leadership trust to give a straight answer on what is shippable, what is not, and what it will take Salary Band: $90,000 – $150,000 (depending on experience and location)

Design and deliver production-grade AI and agentic systems including document intelligence and workflow automation. | 6+ years software engineering with 2+ years building production LLM/ML systems, strong Python, cloud infrastructure, and retrieval systems experience required. | You’re Opportunity: At PLACE, we’re building a category-defining company at the intersection of real estate, technology, business services, and the consumer. As a profitable, hypergrowth startup on the path to an IPO, our standards are high, our team is scrappy, and our commitment is to execute the best work of our lives. This is YOUR CHANCE to shape the future of AI-powered mortgage technology. As our Director, AI Product, you’ll partner with Product, Engineering, Customer Experience leaders, and executives to define and execute an AI product strategy that transforms how lending teams and borrowers interact with the mortgage process. You will own the roadmap across document intelligence, workflow automation, and data-driven decisioning—embedding AI directly into our Point of Sale experience. If you thrive in ambiguity, ship fast, and believe in scaling impact through AI, this is your PLACE. Who Develops You: Head of Product What You’re Great At: You are an applied AI engineer who ships. You’ve taken LLM-based systems and agentic workflows from prototype to production and understand what it takes to make them work in the real world—evals, observability, cost control, latency tuning, and continuous iteration. You have strong opinions on architectures and frameworks, shaped by hands-on experience, but you stay pragmatic—choosing the right tool for the problem rather than forcing a preferred approach. You stay current with emerging research and quickly translate what’s promising into production-ready solutions. You operate across the stack. You can design retrieval systems, implement tool use and orchestration, build evaluation harnesses, debug live issues, and clearly explain tradeoffs to both technical and non-technical stakeholders. You take full ownership and are driven by delivering systems that are reliable, scalable, and impactful. Must-Have: 6+ years of software engineering experience, including 2+ years building and shipping production LLM/ML systems Proven experience designing and deploying agentic systems (tool use, orchestration, multi-step workflows) Strong Python proficiency with production-grade coding, testing, and deployment practices Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic, AWS Bedrock), including prompting, structured outputs, and function calling Deep experience with evals and observability for LLM systems (accuracy measurement, regression detection, drift monitoring) Experience building retrieval systems (RAG), working with vector databases and embedding models Solid cloud infrastructure experience (AWS preferred), including APIs, containers, and serverless architecture Strong system design mindset across LLM architecture (retrieval, memory, orchestration, tool use) with pragmatic tool selection Ability to manage cost and latency tradeoffs in production AI systems Clear communicator who can write design docs, explain tradeoffs, and collaborate cross-functionally Ownership mindset: ships end-to-end and operates effectively in production environments Bonus if you have: Experience in fintech, mortgage, or other regulated environments Background in document AI, OCR pipelines, or structured data extraction Familiarity with AWS AI services (e.g., Bedrock, SageMaker) Experience with modern agent frameworks (e.g., LangGraph, CrewAI, AutoGen) and when to use them Experience with modern data stacks (e.g., Snowflake, BigQuery, dbt) Contributions to open source AI/ML projects Experience supporting production systems on-call What You’ll Do: Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots Own architecture decisions for LLM-based systems, including retrieval, orchestration, memory, tool use, and evaluation Build and maintain evals and observability frameworks to ensure system quality, reliability, and performance Optimize systems for cost and latency at production scale Partner closely with AI Product to scope, sequence, and deliver high-impact features Collaborate with Data Engineering on pipelines, schemas, and data quality foundations Mentor engineers working on AI-adjacent systems and elevate team capabilities Evaluate vendors, models, and tools through POCs, benchmarking, and cost-performance analysis Ship quickly, iterate in production, and continuously improve system performance Salary Range: $90,000-150,000/year, depending on experience Why PLACE: We believe people do their best work when they’re trusted, supported, and surrounded by others who are equally driven. That’s why this role includes a “work from the PLACE you work best” approach—at home, in an office, or on the move. Our competitive benefits include PTO as needed, comprehensive insurance coverage, a 401(k) match, stock option grants, and a stock purchase plan. Every team member is an owner, building the “PLACE” they are proud to call “my company.”

Drive product strategy and roadmap for Python and Java developer tools focusing on AI-powered workflows and GitHub Copilot integration. | Bachelor's degree and 5+ years in product management or software development with strong Python or Java skills and AI-assisted developer tools experience. | Overview AI is transforming how software is designed, built, tested, and maintained. Join our team to shape language-specific GitHub Copilot workflows that empower developers for an AI-first world. We are looking for a Senior Product Manager to drive key initiatives across Python and Java developer experiences. This role will identify the highest-impact problems for developers and translate customer and product signals into a focused strategy for tools and services that support both human developers and AI agents. You will validate that strategy through prototypes, experiments, and measurable product outcomes, helping developers move from intent to reliable software with greater speed and confidence. As an individual contributor, you will collaborate with engineers, data scientists, designers, developer advocates, and product teams across the language and runtime space. You will experiment, learn with customers, and build the next generation of developer tools while ensuring stakeholders understand the strategic direction and the why behind each investment. You will join a team that measures success through customer and business outcomes, builds alongside our customers and the communities we serve, creates leverage through shared context and tools, and learns continuously so everyone can contribute at a higher level. Does this sound like you? You are passionate about programming languages and developer tools. You care deeply about Python and Java developers and understand how they interact with languages, libraries, frameworks, runtimes, and the broader development ecosystem. You think strategically across multiple horizons. You balance a vision for how software development may evolve over the next several years with focused experiments and concrete steps to create customer value today. You are a product builder. You move from customer problem to specification to working prototype, write code when useful, use the experiences you build, and evaluate whether they solve meaningful problems for developers. You are fluent in AI-assisted development. You regularly use tools such as GitHub Copilot to prototype, evaluate, debug, and improve developer workflows. You assess output quality, identify product and technical tradeoffs, and explore how humans and agents can work together effectively. You learn directly from customers and product signals. You engage through customer calls, community conversations, GitHub issues, interviews, user studies, and usage data, then turn those insights into product decisions and measurable improvements. You bring people together around excellent developer experiences. You collaborate across design, engineering, data science, and advocacy, communicate the reasoning behind product decisions, and share what you learn through demos, documentation, technical content, developer events, and community engagement. If many of these sound like you, you may be exactly who we need. Join us to shape the future of development and let’s build the next generation of software for humans and agents. Take the next step and apply now! Responsibilities Here is what you will do and learn to be successful in this role: Drive product strategy: Define and own the product strategy for Python and Java developer tools, language-specific GitHub Copilot developer workflows, and AI-first experiences. Translate the strategy into roadmaps, organizational alignment, measurable success criteria, and go-to-market plans. Innovate and execute: Conduct market and customer research to identify new opportunities and anticipate future developer needs. Partner with engineering on technical product decisions across languages and runtimes, especially for AI-powered experiences that serve both human developers and agents. Apply product and design judgment: Define clear end-to-end experiences, make deliberate tradeoffs, account for edge cases and quality, and focus the team on the opportunities most likely to create meaningful customer value. Collaborate and lead: Partner across disciplines, teams, and organizations to deliver cohesive developer experiences. Champion the needs of Python and Java developers while coordinating with language, runtime, GitHub Copilot, design, engineering, advocacy, and other product partners. Build deep developer empathy: Write code, use daily builds of developer tools, and maintain zero distance to customers through feedback channels, social media, interviews, user studies, and direct engagement with developer communities. Engage customers and communities: Work closely with early adopters and strategic customers to validate direction and identify unmet needs. Partner with advocacy teams on demos, documentation, talks, tutorials, conference planning, and community presence to drive adoption and excitement. Make evidence-driven decisions: Establish metrics and analyze usage data to measure success. Design experiments that validate hypotheses and enable rapid iteration on developer workflows. Use insights to improve product quality, user satisfaction, and investment decisions. Stay current: Track emerging AI and developer tooling trends. Apply what you learn to amplify our team productivity and inform future investments in AI-first developer experiences. Qualifications Required Qualifications: Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years. Preferred qualifications Proven experience as a Product Manager with a strong technical background, preferably with experience in Python or Java development and interest in developing depth across multiple languages. Demonstrated experience leading product initiatives from concept to launch and through iterations. Strong analytical mindset and experience using qualitative and quantitative insights to guide product decisions. Hands-on experience with AI-assisted developer tools, including GitHub Copilot developer experiences. Interest in coding, language tooling and runtimes, with the ability to engage credibly in technical product discussions. Product Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Lead design and development of backend and frontend applications collaborating cross-functionally. | 5+ years development experience with Python backend and React frontend, strong communication and analytical skills for remote work. | Job Opportunity: Senior Full-Stack Developer (Focus Backend Python) Location: Fully Remote (PST Timezone) Start Date: ASAP ️ Languages: English required We're growing our team to support the expansion of our internal projects. If you're passionate about building ambitious products in a flexible, fast-paced environment, wed love to hear from you! Your Role As a key member of our development team, you will: Lead the design and development of innovative web and mobile applications. Focus primarily on backend development (70%) in Python, while contributing to frontend tasks (30%) using React and React Native. Architect scalable and reusable backend systems using frameworks like Django or FastAPI. Build robust APIs and ensure high standards of performance, reliability, and security. Collaborate cross-functionally with product managers, designers, and stakeholders from concept to deployment. Optimize application performance and handle challenges related to data processing and system integrations. Conduct code reviews and mentor junior developers, promoting best practices. Use AI tools to streamline development workflows and enhance product features. What Were Looking For Experience: 5+ years in software development, with strong backend expertise in Python and a solid grasp of frontend technologies. Backend: Proficiency with Python, Django/FastAPI, PostgreSQL, Redis, and cloud infrastructure (preferably AWS). Frontend/Mobile: Experience with React, React Native, JavaScript/TypeScript, and knowledge of mobile CI/CD and performance best practices. AI/Automation: Comfort with AI tools to support dev productivity and automation. Problem-Solving: Strong analytical mindset with a track record of solving complex issues and delivering high-quality results. Communication: Excellent written and verbal communication in English, with the ability to collaborate effectively in a remote setup. Product Mindset: Focused on user experience and able to turn business needs into scalable tech solutions. Team Spirit: Self-driven, proactive, and comfortable working in a distributed, agile startup environment. Bonus: Experience in fintech, marketplaces, or scaling products in high-growth startups.

Develop and customize WordPress plugins and sites including front-end and back-end enhancements. | Senior WordPress developer with PHP, MySQL, plugin customization, UI/UX, and API integration experience. | Position : Senior WordPress Developer Location: Los Angeles, CA Duration: 12+ months Skills Required: Senior WordPress developer with the following skills: WordPress Administration - Plugins Development and Customization - PHP - MySQL - Relational Database Design and Development (SQL, Stored Procedures, etc.) - UI/UX - Google Map API / Integration Experience designing, developing, deploying, and supporting WordPress site updates including plugin customizations. Advanced experience with both front-end and back-end development using HTML, CSS, JavaScript, JQuery, PHP, and MySQL. Experience performing the following: - Customizing the JobSearch WP Job Board WordPress Plugin (https://codecanyon.net/item/jobsearch-wp-job-board-wordpress-plugin/21066856) to have additional features and functionality - Maintaining user accounts in WordPress - Developing and enhancing existing plugins - Developing dashboards and automated workflows - Making UI/UX changes within WordPress - Developing reports within WordPress Regards, Sangeetha West Advanced Technologies, Inc. Serving government agencies for 22 Years E: sangeetha.p@wati.com, D: 279 895 6797 www.wati.com

Design, develop, test, and maintain embedded firmware for high-speed optical components and lead cross-functional collaboration for product launches. | Requires embedded C/C++ firmware development experience, microprocessor architecture knowledge, hardware validation skills, and strong collaboration and communication abilities. | About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact The Firmware team at Marvell builds highly integrated component platforms with high speed Silicon photonics, transmit and receive amplifiers, controller ASIC’s with Marvell DSP’s. These components are made operational with a highly functional embedded firmware. The team is responsible for design, verification, and validation of these integrated high speed optical components. The team performs system level testing under various operating conditions, and validates the performance of the hardware, firmware and control loops. An engineer in this team will be involved in a full product lifecycle and will carry new products from inception all the way to NPI. What You Can Expect The SW team is a key enabler for bringing products to production. As a Sr. Staff Software Engineer, you will work closely with SW, HW, and Test teams — as well as experts from systems, customer support, and operations — to drive successful product launches. Core areas of ownership include: - Embedded firmware running on our RISC-V-based multi-core MCU, controlling our proprietary DSP data path - C SDK provided to customers for interfacing with and controlling our product - Python-based GUI for in-field debug, status, and control - Build, test, and automated regression infrastructure for all of the above In This Role You Will - Design, implement, test, deploy, and maintain firmware for embedded systems, both independently and cross-functionally - Serve as the software expert on a block or portion of the design, owning SW architecture, development, and testing of embedded C firmware end-to-end - Collaborate with HW and SW teams on system requirements, schematics, and hardware validation - Lead bring-ups for next-generation Marvell products and travel to worldwide offices for chip bring-up (~3 weeks/yr; Ottawa, California, Italy, Vietnam) - Lead difficult debug efforts, drive to root causes with HW/Systems teams, and follow through with test, validation, and customer support to ensure full resolution - Optimize firmware for performance, reliability, and power consumption - Participate in and lead design reviews, code reviews, and debugging sessions - Plan SW milestones, develop in sprints, close tickets, and roll out features across multiple test disciplines - Execute frequent firmware releases for both internal use and external customers - Develop and maintain documentation including functional specs, design documents, test specifications, user guides, and examples - Stay current with industry trends and emerging technologies Example Tasks - Mentor interns or new hires to help them ramp up and integrate into the team - Develop Python test scripts to configure, control, and gather status from multiple DSP hardware platforms to improve firmware stability - Break up and optimize subroutines to maximize efficiency across a multi-core MCU architecture - Design and implement unit testing processes for firmware code - Collaborate with teammates to review code, analyze test results, and debug complex customer issues - Implement new temperature tracking algorithms for DSP/analog control to improve device performance across temperature ranges What We're Looking For - BS/MS degree in Computer Science, Electrical/Software Engineering, or related technical field(s); BS with 5+ years of experience or MS with 2–3 years in memory-constrained embedded C/C++ firmware development - Experience with technical ownership on embedded projects: task management, release planning, architecture, design, development, code reviews, testing, and delivery through customer volume production - Experience with various microprocessor architectures (ARM or RISC-V; RISC-V a plus) - Understanding of embedded SoC and micro-controller architecture, memory-mapped hardware interfaces, GPIOs, ISRs, RTOS, queuing, memory management, and interrupt processing - Embedded device driver experience in communications protocols (e.g., SPI, I2C, MDIO, UART) - Experience writing control firmware for: CDR, Flash/EEPROM, Laser Driver, TEC Controller - Understanding of parameter calibration techniques (e.g., interpolation, splines) - Expert C and Python programming skills; working knowledge of git, Linux, makefiles, gdb, IDEs, bash, etc. - Hands-on debug skills on real hardware using oscilloscopes, logic analyzers, JTAG, and other embedded diagnostics tooling - Working knowledge of hardware design schematics - Excellent verbal and written communication skills in English; ability to collaborate across a large, remotely located cross-functional organization - Excellent multitasking skills Preferred Qualifications - Experience with SERDES, IM-DD/Coherent DSP, Ethernet/PCIe PHYs, and/or Optical Module SW - Experience designing, developing, and debugging software state machines, transitions, context saving, and error handling - Experience with mixed-signal (analog+digital) control and monitoring, PID/feedback loop control, etc. - Experience with bare-metal, device drivers, or Linux kernel development - Familiarity with advanced compiler options (clang/gcc preferred) - Familiarity with digital verification test flows, FPGA emulation, and hardware languages such as Verilog - Familiarity with lab equipment such as power supplies, PNAs, ONTs, etc. - Understanding of Ethernet networking from the OSI model, with emphasis on the PHY up to the data link level - Familiarity with forward error correction, PCS framing, PMA/PMD, PRBS, and other PHY traffic schemes - Understanding of signal processing: histograms, BER, SNR, sampling phase, Shannon limit, impulse & frequency response, FFT, etc. Expected Base Pay Range (USD) 131,010 - 196,300, $ per annum The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions. Additional Compensation And Benefit Elements Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com. Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

Design and build internal software tools and applications to support engineering workflows across the company. | 5+ years software engineering experience with front-end and back-end development skills, strong software engineering fundamentals, and ability to work in ambiguous environments. | Turning Space into a Transportation Layer for Earth Who We Are Inversion builds advanced reentry systems to deliver next-generation capabilities from space. Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach. Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds. Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U.S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics. What You'll Do As a Senior Full Stack Engineer at Inversion, you will define and build the internal software tools that help our engineering teams innovate, make better decisions, and operate more effectively. You will own the development of internal applications across the stack, from intuitive user interfaces to backend services and integrations. This role is cross-functional and ambiguous by design: you will identify high-leverage opportunities, work closely with technical users, and help shape what high-quality internal tools should look like at Inversion. You will be a key member of the Internal Software Tools team, reporting directly to the Director of Software. Key Responsibilities - Design, build, and maintain internal web applications and tooling that support engineering workflows across the company. - Own the end-to-end lifecycle of internal tools, including problem definition, technical design, implementation, testing, deployment, and long-term maintenance. - Build intuitive user interfaces and workflows for technical users, with a strong focus on usability, clarity, and speed. - Develop backend services, APIs, and integrations that support internal dashboards, documentation systems, data review tools, and AI-enabled workflows. - Partner closely with engineers and other technical stakeholders to identify pain points, gather requirements, and translate loosely defined needs into practical internal products. - Help define best practices for internal application development, including architecture, testing, code quality, and maintainability. - Contribute to the long-term product and technical direction of the Internal Software Tools team. Required Qualifications - 5+ years of professional software engineering experience building and shipping production-quality software systems. - Strong front-end development experience with TypeScript/Javascript and frameworks like React. - Experience developing backend systems, APIs, or internal tools using technologies such as Python, Node.js, or Go. - Strong software engineering fundamentals, including system design, testing, debugging, code quality, and maintainability. - Familiarity with Linux development environments and basic CI/CD workflows. - An innovative and optimistic approach to an environment with high ambiguity, shifting priorities, and loosely defined problem spaces. - Position may require occasional extended hours and/or weekend work. - Must have the ability to obtain and maintain a U.S. government Secret/Top Secret security clearance. Desired Qualifications - Experience building internal tools for engineering teams, such as dashboards, test and data review tools, documentation systems, or workflow automation. Extra points if this was for Aerospace! - Experience integrating AI-enabled capabilities or interfaces into internal software products. - Familiarity with databases, data modeling, and the tradeoffs between different storage approaches. - Familiarity with Docker, Kubernetes, or modern deployment workflows. - Prior experience in a small team or startup environment where you were expected to define scope, set direction, and execute with a high degree of ownership. Our office headquarters is located in Playa Vista, CA. This position requires in office presence. The California annual base salary for this role is currently $139,000 - $201,000. Pay Grades are determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity. ITAR Compliance To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Equal Employment Opportunity Inversion provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, veteran status, or disability. 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Design and maintain scalable backend services and provide technical leadership across microservices. | 6+ years backend engineering with Java, Python, cloud-native architecture, and strong communication skills. | Remote in EU | Long-term B2B Contract Role Overview We are looking for a deeply hands-on Senior Java Engineer who can provide technical leadership while continuing to design, build and ship production code. You will work across several backend services rather than being assigned to one isolated project. The environment consists of distributed, cloud-native systems, with Java as the primary language and Python used across parts of the wider platform. You will collaborate closely with Product Owners, DevOps engineers and other development teams, helping shape technical solutions across multiple services and translating product requirements into scalable backend architecture. Key Responsibilities: Design, build and maintain scalable backend services and APIs, primarily in Java Write production-quality code as a core part of your daily work Contribute to Python services and codebases when required Work across approximately three to four interconnected microservices Make and influence technical and architectural decisions Break down complex requirements and guide their technical implementation Review code and establish strong engineering standards Mentor engineers and provide technical guidance without formal line-management responsibility Collaborate with Product Owners to evaluate requirements, trade-offs and delivery approaches Build and operate cloud-native services, primarily on AWS Deploy and run containerised applications using Kubernetes and Docker Work with DevOps engineers on CI/CD, deployment, scalability and reliability Use data, analytics and operational insights to support technical decisions Contribute to testing, documentation and continuous improvement throughout the SDLC Support the adoption of AI-assisted engineering tools and solutions where appropriate Requirements: At least 6 years of professional backend engineering experience Strong, recent and hands-on commercial experience with Java Proven experience designing and developing microservices or distributed systems Professional experience contributing to production Python codebases Strong knowledge of AWS and cloud-native application architecture Solid hands-on experience with Kubernetes and Docker Experience designing and integrating REST APIs Good knowledge of SQL and relational databases Practical experience with CI/CD pipelines and modern software-delivery practices Experience influencing architecture or leading technical decisions Ability to review code and mentor other engineers Strong understanding of testing, maintainability and production code quality Comfortable working across several services and technical priorities simultaneously Strong communication skills and the ability to work with both technical and product stakeholders Professional working proficiency in English (C1+) Based within the European Union and able to work on a B2B contract Nice to have: Experience with Azure alongside AWS Experience building or integrating AI-enabled products Knowledge of analytics, data-processing or event-driven systems Experience working in an international, distributed engineering environment Previous experience supporting several engineering teams or product areas What's on Offer: Fully remote work from within the European Union Long-term B2B engagement Hands-on role with genuine influence over technical direction Opportunity to work on AI-powered systems used internationally Collaboration with experienced, multidisciplinary engineering teams More than 20 days of paid time off Apple equipment Training and professional-development budget Diversity and Inclusion Commitment We are dedicated to creating and sustaining an inclusive, respectful workplace for all -regardless of gender, ethnicity, or background. We actively encourage applicants from all identities and experience levels to apply and bring your authentic self to our fast-paced, supportive team.

Lead modernization of research applications with microservices, AI integration, and strategic technical leadership. | 7-10 years full stack with C#/.NET, JavaScript, React, Python; 3-5 years leadership; cloud and AI integration experience; strong communication and mentoring skills. | Summary Seeking a seasoned Principal Software Engineer to lead the modernization of our proprietary research and data collection applications. This role offers the opportunity to oversee a transition from monolithic systems to microservices architecture, adaptation of AI tooling, and to provide strategic leadership while remaining actively involved in hands-on development. The ideal candidate will possess a strong full stack background, experience in modern cloud environments, and a passion for integrating AI features into scalable, secure applications. Join a dynamic team dedicated to innovation, excellence, and making a tangible impact globally through investigative technology. Requirements - 7 to 10 years of full stack development experience with C#/.NET, JavaScript, React, and Python - 3 to 5 years of leadership experience- either driving a teams technical direction or leading a team - Proven ability to design scalable, secure applications with cloud deployment (Azure preferred), containers, and DevOps practices - Hands-on experience integrating AI/machine learning into production systems - Strong leadership, mentoring, and code review skills - Excellent communication skills for technical and non-technical audiences - Bachelor’s degree in Computer Science, Engineering, or related field (advanced degree preferred) - Comfortable maintaining legacy C#/.NET systems while modernizing with newer stacks Responsibilities - Lead the transition from monolithic architecture to microservices, guiding technical strategies and delivery - Architect, build, and maintain scalable, secure applications across the front end and back end - Support legacy systems while pioneering integration of modern JavaScript (React) and Python stacks - Implement secure APIs, data models, and reliable services following best SDLC and DevOps practices - Monitor system performance, reliability, and address production issues proactively - Mentor and review code for a small team of engineers, fostering best practices and technical growth - Define architectural approaches that balance scalability, cost, and security - Collaborate with product, design, and stakeholders to translate business needs into effective technical solutions - Lead initiatives to integrate AI features into applications, running proof-of-concept projects and sharing workflows to expand team capabilities Compensation info: - For contract-to-hire an hourly rate of $100-115 hr/w-2; for direct hire $200,000-225,000 annual salary