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Senior/Staff Software Engineer (Machine Learning Runtime, Motion Planning) at PlusAI · Katori

Asks for

The ad says“Experience designing validation strategies, automated testing, runtime monitoring, and observability for production systems”
The ad says“Optimize end-to-end inference performance through algorithm optimization, C++ implementation, profiling, memory optimization, and efficient execution on compute-constrained embedded platforms”
The ad says“Strong C++ programming skills with experience building, optimizing, and maintaining large-scale software systems”
The ad says“Strong software engineering fundamentals, including software architecture, testing, and code quality”
The ad says“Excellent debugging and analytical problem-solving skills, with the ability to systematically investigate complex software and system-level issues”
The ad says“Experience deploying machine learning inference into production environments”
The ad says“Experience designing validation strategies, automated testing, runtime monitoring, and observability for production systems”
The ad says“Excellent debugging and analytical problem-solving skills, with the ability to systematically investigate complex software and system-level issues”
The ad says“Experience optimizing real-time systems, including latency, throughput, memory usage, and multithreaded performance”
The ad says“Experience designing validation strategies, automated testing, runtime monitoring, and observability for production systems”
The ad says“Strong software engineering fundamentals, including software architecture, testing, and code quality”
The ad says“Strong software engineering fundamentals, including software architecture, testing, and code quality”
The ad says“Experience tracing failures across multi-stage pipelines, identifying root causes, and implementing reliable long-term solutions”
The ad says“Experience designing validation strategies, automated testing, runtime monitoring, and observability for production systems”

Values

The ad says“Experience with autonomous driving planning, prediction, or robotics software”
The ad says“Deep expertise in modern C++ (C++17/20) and high-performance software engineering”
The ad says“Experience with distributed systems, CI/CD, and cloud infrastructure”
The ad says“Experience with distributed systems, CI/CD, and cloud infrastructure”
The ad says“Experience profiling CPU and GPU performance using modern profiling tools”
The ad says“Familiarity with TensorRT, CUDA, ONNX Runtime, or similar inference acceleration frameworks”
The ad says“Experience with distributed systems, CI/CD, and cloud infrastructure”
The ad says“Experience deploying software on embedded GPU platforms”
The ad says“Experience profiling CPU and GPU performance using modern profiling tools”
The ad says“Familiarity with PyTorch and machine learning workflows”
The ad says“Demonstrated technical leadership and experience mentoring engineers on large production software projects”
The ad says“Experience developing internal debugging, visualization, profiling, or observability tools”
The ad says“Familiarity with TensorRT, CUDA, ONNX Runtime, or similar inference acceleration frameworks”
The ad says“Experience with autonomous driving planning, prediction, or robotics software”
The ad says“Experience developing internal debugging, visualization, profiling, or observability tools”
The ad says“Familiarity with PyTorch and machine learning workflows”
The ad says“Experience with autonomous driving planning, prediction, or robotics software”
The ad says“Demonstrated technical leadership and experience mentoring engineers on large production software projects”
The ad says“Familiarity with TensorRT, CUDA, ONNX Runtime, or similar inference acceleration frameworks”
The ad says“Experience developing internal debugging, visualization, profiling, or observability tools”

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

Benefits

Unlimited PTO: Unlimited paid time off on top of company holidays to recharge and enjoy as needed
Flexible working: Flexibile work arrangements and technology to help manage life’s demands at the office and remote
Health benefits: Tiered options in medical, dental, and vision insurance to fit your unique needs
Future building: Equity, 401k and FSA options for all eligible employees to help build for your future
Professional development: Company-sponsored professional development opportunities such as conferences, training, and workshops
Catered lunches: Daily catered lunches at both of our Santa Clara and Fremont offices

Preferred experience

Excellent debugging and analytical problem-solving skills, with the ability to systematically investigate complex software and system-level issues
BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a related field
Experience deploying machine learning inference into production environments
Strong software engineering fundamentals, including software architecture, testing, and code quality
Familiarity with TensorRT, CUDA, ONNX Runtime, or similar inference acceleration frameworks
Strong C++ programming skills with experience building, optimizing, and maintaining large-scale software systems
Strong ownership mindset with the ability to drive problems from investigation through implementation, validation, and deployment
Experience designing validation strategies, automated testing, runtime monitoring, and observability for production systems
Experience tracing failures across multi-stage pipelines, identifying root causes, and implementing reliable long-term solutions
Excellent communication skills and experience collaborating across machine learning and systems engineering teams
4+ years of experience developing high-performance production software
Experience optimizing real-time systems, including latency, throughput, memory usage, and multithreaded performance
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
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
Strong systems thinking with the ability to balance correctness, performance, maintainability, scalability, and safety
Proven ability to diagnose and resolve complex production issues involving machine learning, runtime software, and system integration
Demonstrated technical leadership and experience mentoring engineers on large production software projects