TurbineOne

Develop and productionize machine learning software features integrating research into product systems. | 8+ years software engineering experience with machine learning production, strong Python and API design skills, and ability to work in a fast-moving startup environment. | Senior/Principal, Applied Research Software Engineer Remote ABOUT THE JOB Company Intro: TurbineOne is the frontline perception company. We deliver decision advantage, better situational awareness, and stronger force protection. Our customers love how we automate the right portions of the military intelligence cycle while keeping them in the loop. The company is a small, fast-moving, and high-performance startup that is backed by the best DefenseTech venture capitalists. Job Title: Senior/Principal, Applied Research Software Engineer Reporting directly to: The Director of Applied Research Location: Geographically flexible for home-office The Applied Research team identifies promising research and turns it into effective, edge-focused capabilities that people can use without a background in machine learning. This is not a pure research organization: success means shipping timely, reliable product features around rapidly evolving models and algorithms. Primary Responsibilities • Turn state-of-the-art research implementations into product features that deliver useful machine learning capabilities to operators at the edge. • Scope and own initial product integrations from end to end: evaluate a research implementation, define an incremental path to delivery, adapt and productionize the core capability, build the required APIs and data flows, and update the product UI so users can access it. • Build in-product integrations into the Frontline Perception System and other TurbineOne artifacts, working across Python model services, Golang application services, and the Vue 3 client as the feature requires. • Collaborate with Research, Product, Design, Mission, Field Engineering, and external technical partners to understand the operational problem and match it to a set of possible solutions based on state-of-the-art algorithms and machine learning processes. • Develop reliable software around imperfect and rapidly evolving models, including tests, observability, failure handling, and clear technical documentation. Validate solutions work against real customer data. • Design for disconnected, resource-constrained environments by considering latency, compute, memory, bandwidth, hardware architecture, and model packaging from the beginning. • Contribute actively to technical design and code reviews, help teammates navigate unfamiliar parts of the stack, and improve the shared frameworks that make future integrations faster. Desired Experience • 8+ years working in software engineering, product engineering, or production machine learning positions. • Demonstrable experience taking machine learning, robotics, computer vision, or other research-grade software from prototype to production. • Strong Python experience and the ability to work effectively in unfamiliar parts of a full-stack system. Experience with Golang, TypeScript, or a reactive framework such as Vue or React is valuable. • Experience with machine learning runtimes and frameworks such as PyTorch, ONNX Runtime, or TensorRT, including containerized deployment on GPU-enabled systems. • Experience designing and evolving APIs using technologies such as gRPC, Protocol Buffers, GraphQL, or REST. • A track record of working through ambiguous technical and product domains, breaking broad problems into incremental deliverables, and defining what to implement before diving into implementation. • Excellent engineering judgment, with an emphasis on simple designs, readable code, thoughtful testing, and understanding behavior beyond the happy path. • Curiosity and self-direction: you can go deep to understand an unfamiliar system or research implementation, then return with a practical recommendation and working software. • Strong cross-functional communication skills and experience incorporating feedback from engineers, product partners, domain experts, and end users. Startup Culture Expectations We're a small, fully remote team and everything is our responsibility. Our team thrives on autonomy, trust, and solid communication. Everyone on the team needs to be very comfortable with constant change, moving fast, sharing failures, embracing grit, and building things themselves. Most startups fail and no one will come to save us. Eligibility Must be eligible to obtain and maintain a clearance with the U.S. government.

Develop edge-focused product experiences integrating machine learning for frontline users with close collaboration with design and infrastructure teams. | 5+ years full-stack development, 3+ years with strongly typed languages, deep understanding of reactive frameworks, API design experience, and strong collaboration skills. | ABOUT THE JOB Company Intro: TurbineOne is the frontline perception company. We deliver decision advantage, better situational awareness, and stronger force protection by allowing frontline soldiers to leverage the latest in machine learning and software technology. The company is a small, fast-moving, high-performance startup that is backed by the best DefenseTech venture capitalists. Job Title: Full-Stack Product Engineer • Geographically flexible - fully remote Primary Responsibilities: • Deliver edge-focused product experiences, integrating the latest in machine learning and autonomy, to support the missions of intelligence officers, frontline soldiers and security forces around the world. • Work closely with our expert design team to develop novel and intuitive user experiences allowing laypeople to take full advantage of advanced technologies. • Knowing the limits and shortcomings of machine learning, design systems and application flows that, nonetheless, allow machine learning to be a force multiplier for our frontline warfighters. • Collaborate with the infrastructure team, and other product teams, to create an efficient and elegant application stack, taking into account the resource constraints of the edge-focused environments we deploy into. • Work with ML engineers to design and build our internal modeling APIs, making sure they support optimal user experiences on the front end. Desired Experience: • 5+ Years working in full-stack product development positions. • 3+ years experience with strongly typed languages, such as GoLang, C++, C# or Java. • Deep understanding of reactive web frameworks, such as Vue and React. • Experience with API design and best practices for REST, GraphQL and gRPC. • Experience working with a team to develop a maintainable code base using design documents, code reviews, style guides and other industry best practices. • A deep love for iterating closely with design to deliver magical experiences to the end user. Startup Culture Expectations: • We're a small, fully remote, team; you have to be self-driven and disciplined. • The teams at TurbineOne thrive on autonomy, trust and solid communication. • While work/life balance is key to preventing burnout, in emergency situations, it is important that key personnel be available and involved. • The mission is key; given the sacrifices of those that serve, we want a team that will work to make every mission we are involved in a success, regardless of what that takes. Eligibility: • Must be eligible to obtain a clearance with the U.S. government.

Develop edge-focused product experiences integrating machine learning to support frontline missions. | 5+ years full-stack development, experience with typed languages and reactive frameworks, API design, and collaboration with design teams. | ABOUT THE JOB Company Intro: TurbineOne is the frontline perception company. We deliver decision advantage, better situational awareness, and stronger force protection by allowing frontline soldiers to leverage the latest in machine learning and software technology. The company is a small, fast-moving, high-performance startup that is backed by the best DefenseTech venture capitalists. Job Title: Full-Stack Product Engineer • Geographically flexible - fully remote Primary Responsibilities: • Deliver edge-focused product experiences, integrating the latest in machine learning and autonomy, to support the missions of intelligence officers, frontline soldiers and security forces around the world. • Work closely with our expert design team to develop novel and intuitive user experiences allowing laypeople to take full advantage of advanced technologies. • Knowing the limits and shortcomings of machine learning, design systems and application flows that, nonetheless, allow machine learning to be a force multiplier for our frontline warfighters. • Collaborate with the infrastructure team, and other product teams, to create an efficient and elegant application stack, taking into account the resource constraints of the edge-focused environments we deploy into. • Work with ML engineers to design and build our internal modeling APIs, making sure they support optimal user experiences on the front end. Desired Experience: • 5+ Years working in full-stack product development positions. • 3+ years experience with strongly typed languages, such as GoLang, C++, C# or Java. • Deep understanding of reactive web frameworks, such as Vue and React. • Experience with API design and best practices for REST, GraphQL and gRPC. • Experience working with a team to develop a maintainable code base using design documents, code reviews, style guides and other industry best practices. • A deep love for iterating closely with design to deliver magical experiences to the end user. Startup Culture Expectations: • We're a small, fully remote, team; you have to be self-driven and disciplined. • The teams at TurbineOne thrive on autonomy, trust and solid communication. • While work/life balance is key to preventing burnout, in emergency situations, it is important that key personnel be available and involved. • The mission is key; given the sacrifices of those that serve, we want a team that will work to make every mission we are involved in a success, regardless of what that takes. Eligibility: • Must be eligible to obtain a clearance with the U.S. government.

Design, build, and operate production-quality infrastructure and automated testing platforms for edge hardware. | Senior-level impact in software systems, strong programming skills in Python and Go, experience in infrastructure disciplines like CI/CD and platform engineering, and ability to work autonomously in a remote environment. | Location: Remote (Home Office Anywhere in the United States) Travel: Approximately 2–4 times per year About TurbineOne TurbineOne is the frontline perception company, delivering decision advantage, enhanced situational awareness, and stronger force protection for those operating in complex environments. Our customers rely on us to automate the right parts of the military intelligence cycle while keeping humans in the loop where it matters most. We're a fast-moving, high-performance startup backed by leading DefenseTech investors, building technology that directly impacts mission success. If you're excited by difficult engineering problems, ownership, and building systems that operate at the edge, we'd love to talk. The Role At TurbineOne, DevOps is a software engineering discipline. Our team builds the automation, platforms, and internal systems that enable engineers to build, test, release, and operate software deployed on edge hardware around the world. One of our highest priorities is expanding our automated testing infrastructure for remotely accessible edge devices. This role will take significant ownership of that initiative while contributing broadly across our DevOps roadmap. We're looking for experienced engineers from backgrounds including: • Site Reliability Engineering (SRE) • Production Engineering • CI/CD Engineering • Build & Release Engineering • Developer Infrastructure • Platform Engineering • Test Infrastructure If you've built internal platforms that enable other engineers to move faster, you'll likely be a strong fit. What You'll Do • Design, implement, and operate production-quality infrastructure with significant autonomy. • Build automated testing infrastructure for software running across heterogeneous edge hardware. • Make tests reproducible and failures easy to diagnose across diverse hardware platforms. • Enable Product Engineering and QA teams to contribute automated tests while DevOps owns and evolves the automation platform. • Improve CI/CD pipelines, build and release systems, deployment automation, developer tooling, and platform reliability. • Identify high-leverage engineering opportunities, define technical approaches, write production software, and drive major initiatives from ambiguity to successful operation. • Partner closely with engineering teams to improve developer productivity and software quality. What We're Looking For Required Qualifications • Demonstrated Senior- or Staff-level impact designing, building, and owning software systems. We value scope, ownership, and technical leadership over a specific number of years. • Strong programming ability in at least one production language, with the ability to work comfortably across languages and technology stacks. • Python and Bash are commonly used in our automation. • Our product stack is primarily Go and TypeScript. • Experience in one or more infrastructure-focused disciplines, including: • Site Reliability Engineering (SRE) • Production Engineering • CI/CD • Build & Release • Developer Infrastructure • Platform Engineering • Test Infrastructure • Strong experience with Linux, containers, networking, software delivery pipelines, and operational troubleshooting. • Practical experience designing or supporting automated testing at the unit, integration, end-to-end, or system level. • Proven ability to navigate ambiguity, make sound technical tradeoffs, collaborate across teams, and deliver results with minimal oversight. Bonus Points Experience in any of the following areas is especially valuable: • Hardware-in-the-loop (HIL) testing • Test infrastructure platforms • Remote device fleet orchestration • Edge or embedded systems • Performance testing • Chaos engineering • Internal platform observability • Distributed systems operating at scale Compensation We believe exceptional talent should be rewarded competitively. The base salary range for this position is $240,000–$280,000 annually. Final compensation will be determined based on several factors, including experience, technical expertise, demonstrated impact, geographic location, and overall alignment with the role. In addition to base salary, this position is eligible for equity participation and a comprehensive benefits package. Our Culture We're a small, fully remote team where ownership matters. Success at TurbineOne means being comfortable with: • Taking initiative without waiting for direction. • Moving quickly while maintaining engineering quality. • Communicating openly and collaborating across teams. • Sharing failures, learning rapidly, and continuously improving. • Embracing ambiguity and solving hard problems. • Building what needs to exist rather than waiting for someone else to build it. We believe exceptional teams are built on trust, autonomy, accountability, and a willingness to tackle difficult problems together. Eligibility Applicants must be eligible to obtain a U.S. Government security clearance.

Design and operate production infrastructure, build automated testing and CI/CD pipelines for edge hardware, and improve developer productivity. | Senior-level impact in software systems, strong programming in Python and Go, experience in infrastructure disciplines like SRE, CI/CD, platform engineering, and ability to work autonomously in ambiguous environments. | Location: Remote (Home Office Anywhere in the United States) Travel: Approximately 2–4 times per year About TurbineOne TurbineOne is the frontline perception company, delivering decision advantage, enhanced situational awareness, and stronger force protection for those operating in complex environments. Our customers rely on us to automate the right parts of the military intelligence cycle while keeping humans in the loop where it matters most. We're a fast-moving, high-performance startup backed by leading DefenseTech investors, building technology that directly impacts mission success. If you're excited by difficult engineering problems, ownership, and building systems that operate at the edge, we'd love to talk. The Role At TurbineOne, DevOps is a software engineering discipline. Our team builds the automation, platforms, and internal systems that enable engineers to build, test, release, and operate software deployed on edge hardware around the world. One of our highest priorities is expanding our automated testing infrastructure for remotely accessible edge devices. This role will take significant ownership of that initiative while contributing broadly across our DevOps roadmap. We're looking for experienced engineers from backgrounds including: • Site Reliability Engineering (SRE) • Production Engineering • CI/CD Engineering • Build & Release Engineering • Developer Infrastructure • Platform Engineering • Test Infrastructure If you've built internal platforms that enable other engineers to move faster, you'll likely be a strong fit. What You'll Do • Design, implement, and operate production-quality infrastructure with significant autonomy. • Build automated testing infrastructure for software running across heterogeneous edge hardware. • Make tests reproducible and failures easy to diagnose across diverse hardware platforms. • Enable Product Engineering and QA teams to contribute automated tests while DevOps owns and evolves the automation platform. • Improve CI/CD pipelines, build and release systems, deployment automation, developer tooling, and platform reliability. • Identify high-leverage engineering opportunities, define technical approaches, write production software, and drive major initiatives from ambiguity to successful operation. • Partner closely with engineering teams to improve developer productivity and software quality. What We're Looking For Required Qualifications • Demonstrated Senior- or Staff-level impact designing, building, and owning software systems. We value scope, ownership, and technical leadership over a specific number of years. • Strong programming ability in at least one production language, with the ability to work comfortably across languages and technology stacks. • Python and Bash are commonly used in our automation. • Our product stack is primarily Go and TypeScript. • Experience in one or more infrastructure-focused disciplines, including: • Site Reliability Engineering (SRE) • Production Engineering • CI/CD • Build & Release • Developer Infrastructure • Platform Engineering • Test Infrastructure • Strong experience with Linux, containers, networking, software delivery pipelines, and operational troubleshooting. • Practical experience designing or supporting automated testing at the unit, integration, end-to-end, or system level. • Proven ability to navigate ambiguity, make sound technical tradeoffs, collaborate across teams, and deliver results with minimal oversight. Bonus Points Experience in any of the following areas is especially valuable: • Hardware-in-the-loop (HIL) testing • Test infrastructure platforms • Remote device fleet orchestration • Edge or embedded systems • Performance testing • Chaos engineering • Internal platform observability • Distributed systems operating at scale Compensation We believe exceptional talent should be rewarded competitively. The base salary range for this position is $240,000–$280,000 annually. Final compensation will be determined based on several factors, including experience, technical expertise, demonstrated impact, geographic location, and overall alignment with the role. In addition to base salary, this position is eligible for equity participation and a comprehensive benefits package. Our Culture We're a small, fully remote team where ownership matters. Success at TurbineOne means being comfortable with: • Taking initiative without waiting for direction. • Moving quickly while maintaining engineering quality. • Communicating openly and collaborating across teams. • Sharing failures, learning rapidly, and continuously improving. • Embracing ambiguity and solving hard problems. • Building what needs to exist rather than waiting for someone else to build it. We believe exceptional teams are built on trust, autonomy, accountability, and a willingness to tackle difficult problems together. Eligibility Applicants must be eligible to obtain a U.S. Government security clearance.