Robot Platform Software Engineer
- Platform Evolution: Contribute to the development and implementation of scalable software solutions that evolve existing architectures to support next-generation robotic systems.
- Architecture: Participate in architectural discussions and provide technical input to help define the roadmap for platform software, focusing on modularity and performance.
- Hardware-Software Integration: Work closely with hardware teams to execute de-risking tasks and validate new components, ensuring reliable communication and integration across the robotic stack.
- Resource Profiling: Assist in evaluating compute resource requirements by profiling complex software stacks and identifying opportunities for optimization in constrained environments.
- System Adaptation: Support the porting and optimization of established software frameworks to new hardware platforms, maintaining high standards for system stability and reliability.
- Performance Benchmarking: Conduct profiling and benchmarking tests to identify system bottlenecks, helping to ensure the platform scales effectively across diverse hardware.
- Engineering Standards: Adhere to and promote software engineering best practices, including participating in code reviews, maintaining clear documentation, and contributing to continuous integration efforts.
- Strong C++ Command: Proficiency in C++ within a Linux environment, with experience in system-level programming and an understanding of performance-sensitive code.
- Architectural Awareness: Solid understanding of complex, multi-component system architectures and the ability to contribute meaningful design ideas for safety and scalability.
- Hardware Interaction: Experience with hardware integration and testing, including familiarity with low-level drivers, communication protocols (e.g., CAN, EtherCAT), or sensor data handling.
- Analytical Profiling: Ability to perform resource usage analysis (CPU, memory, latency) to help inform system specifications and hardware selection.
- Adaptability with Existing Code: Proven ability to work within and improve established codebases, balancing the need for modernization with a respect for proven architectural foundations.
- Distributed Systems: Familiarity with API design, and containerization tools like Docker or Kubernetes in a robotics or embedded context.
- Collaborative Mindset: Strong communication skills and the ability to work effectively in a cross-functional environment, bridging the gap between hardware constraints and software requirements.
- Bachelor's degree in computer science, Engineering, or related field; Master's degree in computer science or equivalent preferred.
- 4+ years of experience in software engineering, with a focus on developing system-level software
- Prolonged periods of sitting at a desk and working on a computer
- Must be able to lift 15 pounds at times
- Vision to read printed materials and a computer screen
- Hearing and speech to communicate
- This is a direct hire. Please, no outside Agency solicitations.
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