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Figure

Staff AI Inference and Acceleration Engineer

Figure · San Jose, CA

Posted about 3 months ago · $180,000 - $275,000

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

Is this posting real?

This role has been open
80 days
Figure's roles stay open a median of 81 days
Reposted
No
Salary listed
Yes
60% of Figure's roles list one
Ghost-job risk at Figure
high
112 stale, 2 reposted of 112 open
Hiring momentum
152 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

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

About this role

The Staff AI Inference & Acceleration Engineer will be responsible for the on-board inference architecture of humanoid robots at Figure. This role involves optimizing AI workloads across various compute hardware, ensuring real-time performance while managing power and thermal constraints. The engineer will collaborate with cross-functional teams to enhance inference toolchains and evaluate next-generation hardware.

Our read on this posting3.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
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 Figure as an employer.

What you need

  • M.S. or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or a related field — or equivalent industry experience
  • At least 8 years of industry experience in hardware acceleration, ML systems, or compute architecture
  • Deep understanding of AI/ML inference — model formats (ONNX, TFLite, etc.), inference runtimes, and deployment pipelines
  • Hands-on experience optimizing models for edge or embedded hardware using quantization, pruning, and operator-level tuning
  • Strong understanding of computer architecture — memory hierarchies, data movement, and heterogeneous compute
  • Experience profiling and benchmarking inference workloads across CPU, GPU, NPU, DSP

Nice to have

  • Knowledge of real-time operating constraints and their impact on inference scheduling
  • Track record of co-designing model architectures with ML teams to meet hardware constraints

What you get

  • The US base salary range for this full-time position is between $180,000 - $275,000 annually
  • The total compensation package may also include additional components/benefits depending on the specific role

Worth weighing

  • No specific information on additional benefits or perks beyond salary
  • The role requires extensive experience (8+ years), which may limit opportunities for less experienced candidates

Summarised from Figure's posting. Read the full original.

Listed by Figure on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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