6 часов назад
Senior/Staff Software Engineer (Machine Learning Runtime), Motion Planning
130 000 - 220 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior/Staff Software Engineer (Machine Learning Runtime), Motion Planning (C++/ML inference): Building and optimizing production runtime pipelines for machine-learning-based autonomous vehicle planning with an accent on real-time inference, embedded GPU execution, and safety-critical trajectory generation. Focus on profiling and optimizing latency, memory, and throughput, tracing complex runtime failures, and designing validation, fallback, and observability systems.
Location: Santa Clara, California, United States; hybrid workplace
Salary: $130,000–$220,000 per year
Company
develops AI-based virtual driver software for factory-built autonomous trucks, with operations in the United States and Europe.
What you will do
- Design, implement, and optimize production runtime pipelines for machine-learning-based autonomous vehicle planning.
- Integrate and deploy machine learning models in a scalable, safety-critical planning software stack.
- Develop high-performance C++ components for feature extraction, inference, post-processing, trajectory generation, and runtime orchestration.
- Optimize inference latency, throughput, memory usage, and multithreaded performance on compute-constrained embedded platforms.
- Design runtime validation, safety guardrails, fallback mechanisms, testing, monitoring, and observability.
- Investigate complex edge cases and production failures using logs, profiling, visualization, offline replay, and quantitative analysis.
Requirements
- Bachelor’s, master’s, or doctoral degree in Computer Science, Robotics, Electrical Engineering, or a related field.
- 4+ years of experience developing high-performance production software.
- Strong C++ skills and experience maintaining large-scale software systems.
- Experience with real-time systems, production machine learning inference, software architecture, testing, and debugging.
- Familiarity with TensorRT, CUDA, ONNX Runtime, or similar inference acceleration frameworks.
- Strong ownership, analytical problem-solving, communication, and cross-functional collaboration skills.
Nice to have
- Autonomous driving planning, prediction, or robotics software experience.
- CPU and GPU profiling experience, including embedded GPU platforms.
- Familiarity with PyTorch and machine learning workflows.
- Experience with distributed systems, CI/CD, and cloud infrastructure.
- Technical leadership and mentoring experience on large production software projects.
Culture & Benefits
- Work in an innovative, future-oriented autonomous vehicle domain.
- Opportunities for personal and professional development.
- Catered free lunch, unlimited snacks, and beverages.
- Competitive salary and benefits package, including a 401(k) plan.
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