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Figure

Helix AI Engineer, Training Performance

Figure · San Jose, CA

Posted about 2 months ago · $200,000 - $400,000

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

Is this posting real?

This role has been open
69 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 Helix AI Engineer role focuses on enhancing the training performance of large-scale AI models at Figure, an AI robotics company. Daily tasks include optimizing distributed training frameworks, collaborating on hardware decisions, writing custom GPU kernels, and building performance monitoring tools. The engineer will also work on improving data pipelines and checkpointing systems to ensure efficient model training and recovery from failures.

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

  • Bachelor's or Master's degree in Computer Science, Computer/Electrical Engineering, or a related field
  • 3+ years in AI performance engineering, with significant time leading large-scale performance improvement projects
  • Deep understanding of GPU architecture and performance characteristics
  • Proficiency with profiling tools
  • Solid grasp of collective communication and modern networking concepts
  • Strong Python and CUDA/C++ skills

Nice to have

  • Experience with heterogeneous or multi-datacenter training setups and cross-cluster orchestration
  • Contributions to open-source ML systems projects
  • Exposure to non-NVIDIA accelerators

What you get

  • The US base salary range for this full-time position is between $200,000 - $400,000 annually.
  • The total compensation package may include additional components/benefits depending on the specific role.

Worth weighing

  • No specific information on work-life balance or remote work options is provided.
  • The role involves complex performance engineering tasks which may require a high level of expertise and problem-solving.
  • The salary range is quite broad, indicating potential variability based on individual qualifications.

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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