RoboForce
AI robotics
LeadSoftwareEngineer,AI&RoboticsTestInfrastructure
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“Lead Software Engineer, AI & Robotics Test Infrastructure at RoboForce. Skills: Test Framework Architecture, ML Evaluation Infrastructure, E2E & Simulation Orchestration, HIL & Performance Testing. Design test execution engine. Build test execution engine”
What You'll Achieve.
Move from zero to fully automated pipeline; Benchmark model performance; Catch regressions before deployment; Ensure seamless, IP-isolated hardware validation
Industry & Context.
diagnosing complex integration failures; testing non-deterministic systems
5 days/week in-office collaboration, Visa sponsorship and green card support
What They're Looking For.
Must Have
6+ years of software engineering experience, building test infrastructure, automation frameworks, CI/CD tooling for complex systems, architecting systems from scratch, Expert-level Python, C++ proficiency, Linux environments, bash scripting, containerization (Docker), integrating automated testing into modern CI/CD pipelines, systems-level thinking, understand how software interacts with physical hardware, diagnosing complex integration failures, testing AI/ML models, robotics perception stacks, non-deterministic systems at scale
Nice to Have
Experience writing testing infrastructure that interfaces with ROS 2, eCAL, or custom pub/sub architectures, Experience building test reporting dashboards using tools like Grafana, Foxglove, or custom web interfaces
What You'll Do.
Design test execution engine
Build test execution engine
Maintain test execution engine
Own technical roadmap for framework
Build automated pipelines for testing ML models
Integrate datasets into CI/CD pipeline
Integrate test framework with physics engines
Automate E2E autonomy tests
Automate navigation tests
Build software layer for HIL rigs
Develop profiling tools
Package test framework for factory floor
Ensure hardware validation
Enforce testing standards
Ensure code is testable
Mentor developers on testing best practices
Drive validation culture
How You'll Work.
Team & Collaboration
Act as principal technical authority; Connect software, embedded, simulation, ML, manufacturing teams; Collaborate with Simulation and Cloud teams; Work with Embedded and Hardware teams; Partner with Manufacturing Operations; Participate in cross-functional design reviews; Work with Autonomy and Embedded teams; Mentor feature developers
Full Job Description
Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are seeking a Lead Software Engineer, Robotics Test Infrastructure to architect the overarching validation framework for our robot fleet from the ground up. This is a massive-scope, highly hands-on Technical Lead / Principal Individual Contributor (IC) role. You will act as the principal technical authority and central hub connecting our software, embedded, simulation, machine learning, and manufacturing teams. You will design and build the core test execution software that orchestrates End-to-End (E2E) simulation runs, Hardware-in-the-Loop (HIL) physical testing, ML model regression pipelines, and End-of-Line (EOL) factory validation. At RoboForce, Test Engineers aren't manual testers—you build the scalable infrastructure, automation engines, and CI/CD pipelines that empower all our engineering disciplines to test their code continuously, rigorously, and automatically. Responsibilities Test Framework Architecture: Design, build, and maintain a modular, scalable test execution engine (Python/C++) that standardizes how tests are written, triggered, and reported across the entire company. You will own the technical roadmap for this framework, moving us from zero to a fully automated pipeline. ML Evaluation Infrastructure: Partner with the Autonomy and AI teams to build automated pipelines for testing non-deterministic machine learning models (e.g., vision, perception, manipulation). You will integrate massive datasets and synthetic simulation edge-cases into the CI/CD pipeline to benchmark model performance and catch regressions before deployment. E2E & Simulation Orchestration: Collaborate closely with the Simulation and Cloud teams to integrate your test framework with our existing physics engines, automating
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