Staff Safety Systems Engineer - Autonomous (Remote)

Talanto

Phoenix, Northern (AZ, KY)

Hybrid

USD 200,000 - 256,000

Full time

3 days ago
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Benefits offered by this job

Equity awards
Health benefits
Unlimited vacation
Flexible hours
Work from home support
Catered meals
Team events

Job summary

Talanto is seeking a Staff Systems Engineer focused on Safety Methodologies for its autonomous systems division. The role emphasizes developing and validating safety frameworks that underpin driverless readiness decisions, leveraging a highly realistic simulator, real-world data, and cutting‑edge generative AI techniques.

You will lead sample‑efficient safety datasets, monitor events, and ensure traceability of decisions to validation evidence while mentoring teams across functions.

Qualifications

  • 7+ years in automotive, robotics or closely related industry.
  • Experience using simulation and real-world testing to make readiness decisions.
  • Excellent scripting and data analysis skills (Python, SQL) and solid statistics foundation.
  • Experience building a strong safety case for autonomous vehicles.

Responsibilities

  • Inform driverless release testing by developing sample-efficient, high-signal safety datasets across simulation and testing.
  • Establish and manage feedback loop from on-road monitoring to refine test coverage.
  • Validate and optimize safety evaluation pipelines by comparing core safety frameworks and criteria.
  • Own creation of clear safety artifacts, ensuring readiness decisions are traceable to validation evidence.
  • Mentor peers and foster collaboration between teams to drive technical excellence.

Skills

SQL
Python

Education

Undergrad degree required
Masters/PhD preferred

Job description

Talanto is seeking a Staff Systems Engineer focused on Safety Methodologies for its autonomous systems division. The role emphasizes developing and validating safety frameworks that underpin driverless readiness decisions, leveraging a highly realistic simulator, real-world data, and cutting‑edge generative AI techniques.

You will lead sample‑efficient safety datasets, monitor events, and ensure traceability of decisions to validation evidence while mentoring teams across functions.

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