What is the salary for the Senior Systems Engineer - Safety Methodologies position at Waabi?

The salary range for this Senior Systems Engineer - Safety Methodologies position is $147,900 to $212,700 per year. Actual compensation may vary based on experience, skills, and location.

Where is this Senior Systems Engineer - Safety Methodologies position located?

This is an on-site position at Waabi located in San Francisco, CA, North America.

How do I apply for this Senior Systems Engineer - Safety Methodologies job at Waabi?

Click the 'Apply' button on this page to be redirected to Waabi's application portal. Make sure to have your resume ready and tailor your application to highlight relevant experience.

Waabi is actively hiring for Engineering roles. Visit the company page to see all open positions and learn more about working at Waabi.

Senior Systems Engineer - Safety Methodologies

$148k - $213k

Waabi San Francisco, CA Today

engineering

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

At the heart of our mission is an unwavering commitment to safety. We are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless autonomy readiness decisions. This is a unique opportunity to shape how Waabi quantitatively ensures and validates the safety of our autonomous trucking solution, working with our highly realistic simulator, real-world data, and cutting-edge generative AI techniques. You will play a pivotal role in creating the evidence for safe operation and leading efforts in a rapidly evolving and groundbreaking field.

You will…

- Scale and manage safety framework methods by defining requirements for automated assessment workflows and partnering with the autonomy and algorithms teams to implement and debug the evaluation infrastructure.

- Develop and monitor quantitative metrics to evaluate system performance against established safety targets.

- Optimize test coverage within Waabi’s high-fidelity simulator to validate driving behaviors across safety-critical scenarios.

- Define and iterate on human performance benchmarks to support robust comparative safety assessments.

- Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.

- Maintain structured documentation of safety artifacts and readiness decisions to ensure rigorous transparency and traceability.

- Mentor peers to foster technical excellence and drive constructive cross-functional collaboration.

Qualifications:

- Undergrad required; Masters or PhD within an engineering discipline preferred.

- 5+ years of automotive, robotics or related industry experience.

- Experience contributing to the development of a safety case for autonomous vehicles.

- Experience with using simulation and real-world testing to make readiness decisions.

- Knowledge of relevant safety methods and standards such as STPA, SOTIF (ISO 21448), ISO/SAE PAS 22736, and UL 4600.

- Strong fundamentals in mathematics, engineering and physics.

- Excellent scripting and data analysis skills with tools such as Python and SQL.

- Ability to communicate complex concepts or data in a simple-yet-accurate manner.

- Collaborative team player who works effectively across functional boundaries.

- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus/nice to have:

- Experience in launching a driverless product.

- Experience in data science and machine learning

- Experience implementing software systems components.

- Advanced skills in data mining, mathematics, and statistical analysis.

The US yearly salary range for this role is: $147,900 - 212,700 USD and the Canada salary range for this role is: $180,400 - $220,500 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.

Perks/Benefits:

Waabi provides a competitive benefits package that includes:

- Competitive compensation and equity awards.

- Premium choices for Health and Wellness benefits that include Medical, Vision and Dental coverage.

- Unlimited Vacation.

- Flexible hours and Work from Home support.

- Daily drinks, snacks and catered meals (when in office).

- Regularly scheduled team building activities and social events.

- As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.