2 months ago
Santa Clara, CA, USASenior / Staff+
H1B sponsor
Base Salary
$130k - $220k/yr
Responsibilities
- Design, implement, and optimize the production runtime pipeline for ML-based autonomous vehicle planning.
- Integrate and deploy machine learning models in a scalable, safety-critical planning software stack.
- Develop and optimize high-performance C++ components for feature extraction, inference, post-processing, trajectory generation, and runtime orchestration.
- Optimize latency, throughput, memory usage, and multithreaded performance on compute-constrained embedded platforms.
- Design runtime validation, safety guardrails, and fallback mechanisms for feasible and regulation-compliant trajectories.
- Investigate complex runtime failures using logs, profiling, visualization, offline replay, and quantitative analysis.
- Build tooling and infrastructure for debugging, observability, performance analysis, testing, and runtime monitoring.
- Collaborate with machine learning and systems engineering teams to deploy models while maintaining reliability and performance.
- Drive improvements in runtime architecture, scalability, reliability, and maintainability while complying with quality, regulatory, and customer requirements.
Requirements
- Bachelor's, master's, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
- At least 4 years of experience developing high-performance production software.
- Strong C++ programming skills and experience maintaining large-scale software systems.
- Experience optimizing real-time systems for latency, throughput, memory usage, and multithreaded performance.
- Experience deploying machine learning inference into production environments.
- Familiarity with TensorRT, CUDA, ONNX Runtime, or similar inference acceleration frameworks.
- Strong software architecture, testing, code quality, debugging, and analytical problem-solving skills.
- Experience tracing failures across multi-stage pipelines and implementing reliable long-term solutions.
- Experience designing validation strategies, automated testing, runtime monitoring, and observability for production systems.
- Preferred qualifications include autonomous driving, planning, prediction, robotics software, CPU/GPU profiling, embedded GPU platforms, PyTorch, distributed systems, CI/CD, and cloud infrastructure experience.
- Bonus qualifications include modern C++ expertise, low-latency inference optimization, internal debugging or visualization tools, complex production issue resolution, systems thinking, and technical leadership or mentoring experience.
Benefits
- Wide range of personal and professional development opportunities.
- Catered free lunch, unlimited snacks, and beverages.
- Competitive salary and benefits package including a 401(k) plan.
- The posting describes a highly future-oriented and dynamic work environment.
Categories
About PlusAI
PlusAI develops AI-based virtual driver software that enables factory-built autonomous trucks for commercial freight operators. The company licenses its autonomy stack to truck OEMs and logistics partners; collaborators include TRATON’s Scania and MAN, Navistar’s International, Hyundai Motor Company, Iveco Group, Bosch, and DSV. Headquartered in Santa Clara with operations in the U.S. and Europe, PlusAI is privately held and in 2025 announced a planned public listing via a merger with Churchill Capital Corp IX.