PitchMeAI Jobs
Latitude AI

Senior Software Engineer - ML Performance

Latitude AI · Pittsburgh, PA, Palo Alto, CA, Detroit, MI

Posted about 3 months ago · $179,200 - $268,800

or apply directly on Latitude AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Latitude AI's roles stay open a median of 77 days
Reposted
No
Salary listed
Yes
68% of Latitude AI's roles list one
Ghost-job risk at Latitude AI
high
47 stale, 0 reposted of 47 open
Hiring momentum
86 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from Latitude AI's own greenhouse board since 2026-08-03. Full hiring picture for Latitude AI.

About this role

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.

Our read on this posting3.8out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Latitude AI as an employer.

What you need

  • 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 you get

  • 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

Worth weighing

  • 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

Summarised from Latitude AI's posting. Read the full original.

Listed by Latitude AI on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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