Gatik AI

Senior Systems & Safety Engineer – AI/ML

Gatik AI · Santa Clara, CA

Posted 14 days ago · $160,000- $220,000

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

Is this posting real?

This role has been open
14 days
Gatik AI's roles stay open a median of 45 days
Reposted
No
Salary listed
Yes
71% of Gatik AI's roles list one
Ghost-job risk at Gatik AI
high
49 stale, 0 reposted of 63 open
Hiring momentum
74 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

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

About this role

As a Senior Systems & Safety Engineer for AI/ML at Gatik, you will work on ensuring the safety of autonomous vehicles by implementing safety standards and frameworks, designing safety monitors, and conducting risk analyses. Your role will involve bridging deep learning algorithms with safety engineering, focusing on the functional safety of AI components in driverless operations. This position requires onsite presence in Santa Clara, CA, five days a week.

Our read on this posting3.8out of 5
benefits
1/5
freshness
4/5
career value
4/5
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 Gatik AI as an employer.

What you need

  • M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related field
  • 6+ years in systems/safety engineering or autonomous systems
  • At least 3 years focused on AI/ML safety
  • Deep working knowledge of ISO 21448 (SOTIF), ISO/PAS 8800, UL 4600, and ISO 26262
  • Strong understanding of sensor modalities (LiDAR, Radar, Cameras, IMUs) and their failure modes in adverse conditions

Nice to have

  • Track record of taking a machine-learning-based L4 autonomous vehicle system to driverless commercial deployment
  • Direct experience with data generation/curation tools, active learning, and automated edge-case extraction pipelines

What you get

  • Salary Range - $160,000- $220,000

Worth weighing

  • Onsite work required 5 days a week
  • Focus on safety engineering may limit exposure to other areas of AI/ML development
  • Role heavily emphasizes compliance with specific safety standards

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

Listed by Gatik AI on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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