Software Engineer, Onboard Infrastructure

Responsibilities

• Provide a reliable and high-performance onboard platform for autonomy teams to integrate software and algorithms across self-driving platforms
• Collaborate with software, hardware, and systems/safety teams to ensure new software and hardware work together safely and reliably
• Resolve onboard error and performance problems
• Optimize performance of AV software for quick and safe reactions
• Build systems and tools for continuous performance analysis
• Drive latency reduction and resource efficiency efforts
• Lay the foundation of onboard software for sensor and compute platforms, including device drivers, inter-device protocols and pipelines, and device runtime APIs
• Create hardware-agnostic platforms for perception and autonomy SW stacks
• Work with internal stakeholders and external suppliers to define, evaluate, and integrate next-generation HW platforms
• Build tooling to assist continuous testing and validation

Requirements

• 2+ years of relevant industry experience
• Bachelor’s Degree, Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or related field
• Strong C++ skills
• Experience in one or more of: large-scale distributed systems; computer architecture and operating systems; advanced algorithms using C++ and Python; highly-concurrent, multi-processor, and multi-threaded environments; software performance tuning and optimization; profiling and tracing tools and infrastructure (perf, eBPF, Perfetto, pprof, NVIDIA Nsight Systems/Compute); robotics software frameworks; robotics hardware components (including sensors, embedded platforms, etc); different compute modalities (x86, ARM, GPU, FPGA, etc)
• Strong problem-solving and programming skills

Compensation & Benefits

• Base pay range: $160,360 - $240,540
• Annual performance bonus
• Equity
• Competitive benefits package