Responsibilities- Design, implement, and optimize the production runtime pipeline for ML-based autonomous vehicle planning.
- Integrate machine learning models into a scalable, safety-critical planning software stack.
- Optimize end-to-end inference performance through algorithm optimization, C++ implementation, profiling, memory optimization, and efficient execution on compute-constrained embedded platforms.
- Develop high-performance C++ components for feature extraction, inference, post-processing, trajectory generation, and runtime orchestration.
- Design runtime validation, safety guardrails, and fallback mechanisms to ensure generated trajectories are feasible, robust, and compliant with traffic rules.
- Investigate complex runtime issues by tracing failures across the planning pipeline, from feature extraction through inference to trajectory generation.
- Debug difficult edge-case scenarios using logs, profiling tools, visualization, offline replay, and quantitative analysis to identify root causes and implement robust solutions.
- Build tooling and infrastructure to improve debugging, observability, performance analysis, testing, and runtime monitoring.
- Collaborate closely with machine learning engineers to efficiently deploy new models into production while maintaining system reliability and performance.
- Drive continuous improvements in runtime architecture, scalability, reliability, and maintainability.
- Ensure technical work complies with the company's Quality Management System (QMS), customer requirements, regulatory standards, and internal engineering processes.
Requirements- BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
- 4+ years of experience developing high-performance production software.
- Strong C++ programming skills with experience building, optimizing, and maintaining large-scale software systems.
- Experience optimizing real-time systems, including 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 engineering fundamentals, including software architecture, testing, and code quality.
- Excellent debugging and analytical problem-solving skills, with the ability to systematically investigate complex software and system-level issues.
- Experience tracing failures across multi-stage pipelines, identifying root causes, and implementing reliable long-term solutions.
- Experience designing validation strategies, automated testing, runtime monitoring, and observability for production systems.
- Strong ownership mindset with the ability to drive problems from investigation through implementation, validation, and deployment.
- Excellent communication skills and experience collaborating across machine learning and systems engineering teams.
Preferred Skills- Experience with autonomous driving planning, prediction, or robotics software.
- Experience profiling CPU and GPU performance using modern profiling tools.
- Experience deploying software on embedded GPU platforms.
- Familiarity with PyTorch and machine learning workflows.
- Experience with distributed systems, CI/CD, and cloud infrastructure.
Bonus Qualifications
Candidates who stand out typically have one or more of the following:
- Deep expertise in modern C++ (C++17/20) and high-performance software engineering.
- Experience optimizing production inference pipelines for low latency and high throughput.
- Experience developing internal debugging, visualization, profiling, or observability tools.
- Proven ability to diagnose and resolve complex production issues involving machine learning, runtime software, and system integration.
- Strong systems thinking with the ability to balance correctness, performance, maintainability, scalability, and safety.
- Demonstrated technical leadership and experience mentoring engineers on large production software projects.
$130,000 - $220,000 a year
Your opportunities joining PlusAIWork, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
