Senior/Staff Systems Engineer
GatikMountain View, CA$180k – $250kPosted 24 May 2024
Job Description
Who we are
Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world’s first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation.
The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations.
About the role
We’re seeking a Safety Engineer to lead safety performance evaluations and data-driven assessments for our autonomous trucking systems. You’ll define and monitor Safety Performance Indicators (SPIs) and KPIs, ensure alignment with Gatik’s safety case, and drive continuous safety improvements from vehicle to fleet-level deployment.
This role will be onsite in Mountain View, CA headquarters (preferred) with potential opportunities in Fort Worth, TX.
What you'll do
Assess safety performance using real-world and simulated data
Perform functional safety assessment activities (i.e., HARA, failure mode analysis, exception handling, diagnostic coverage) at system, subsystem and component levels
Lead post-deployment safety analyses and risk mitigation strategies
Define and track SPIs/KPIs to ensure alignment with safety goals
Analyze fleet-wide safety trends, support safety dashboards, and enable real-time monitoring
Leverage predictive analytics to forecast and prevent safety issues
Evaluate vehicle and fleet deployments for safe integration into operations
Partner with engineering, product, and ops teams to embed safety in development and deployment
Maintain and evolve the safety case to meet internal and external standards
Support regulatory engagement and prepare safety documentation for audits and approvals
Drive a safety-first culture through risk assessments, hazard analyses, and feedback loops
What we're looking for
Master’s in Safety, Mechanical, Automotive, Systems Engineering, or related (PhD a plus)
3–5+ years in safety engineering within autonomous systems, transportation, or related fields
Experience with SPIs, KPIs, and managing both predictive and historical safety metrics
Strong skills in safety performance evaluation, failure mode analysis, and event prediction
Familiarity with safety standards and frameworks (e.g., ISO 26262, UL4600, SAE J3016)
Experience with SMS design and implementation, data analysis, and fleet monitoring tools
Excellent cross-functional communication and problem-solving skills
Bonus Qualifications
Experience in autonomous vehicle development, especially trucking
Familiarity with ML for safety-critical applications
Knowledge of vehicle dynamics, sensors, and regulatory frameworks
Salary Range- $180,000- $250,000
More about Gatik
Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability.
We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By ... (truncated, view full listing at source)
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