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Senior Software Engineer - ML Performance

Latitude AI
Location
Pittsburgh, PA, Palo Alto, CA, Detroit, MI
Posted
2 months ago
Department
Intelligent Systems
Salary
$179,200 - $268,800
What they actually want (must-haves)
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
  • Expertise in GPU/DSP architecture and heterogeneous embedded computing
  • Fluency in Python, PyTorch, ONNX, numpy, pandas
  • Fluency in modern C++, data structure optimization and parallel programming
  • Strong understanding of an AI deployment flow on an embedded platform
  • Industry experience writing production-quality, performance-critical code, and maintaining large codebases
Nice to have
  • Master’s or PhD degree in Robotics, ECE, Computer Science, or a related field
  • Experience scaling model deployment, profiling or evaluation flows in a production embedded system
  • Experience in optimizing deep learning models through compression, quantization, pruning, kernel fusion, distillation, … to achieve better inference latency, memory footprint and/or model accuracy
  • Experience writing SIMD code
  • Knowledge of perception or autonomous vehicle data flow and software stack
What the job really is

As a Senior Software Engineer on the Performance team at Latitude AI, you will architect, design, and implement software solutions for a large-scale robotics project. Your role involves collaborating with cross-functional teams to optimize algorithms, improve AI performance, and ensure the software is reliable through continuous integration and automated testing. You will work in a fast-paced environment focused on enhancing vehicle responsiveness and overall product quality.

Benefits
  • Competitive compensation packages
  • High-quality individual and family medical, dental, and vision insurance
  • Health savings account with available employer match
  • Employer-matched 401(k) retirement plan with immediate vesting
  • Employer-paid group term life insurance and the option to elect voluntary life insurance
  • Paid parental leave
Things to weigh
  • No specific technologies or frameworks mentioned beyond those required, which may limit exposure to newer tools
  • The role involves working with legacy systems, which could impact the modernity of the tech stack
  • The job requires strong collaboration across various teams, which may be challenging in a fast-paced environment
Job score3.8/5
Benefits5/5
Freshness1/5
Career value4/5
Role clarity4/5
Pay transparency5/5

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