Systems Engineer

WAABI PARTNERS
United States
1 day ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$140,000.0 - $190,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Systems Engineering Data Mining Python (Programming Language) MATLAB Machine Learning Software Construction

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we’re unlocking the next era of autonomous transportation with technology that’s powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. 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 You will…

  • Own the creation, documentation, alignment and verification of vehicle platform requirements at Waabi and define ways for how to describe and evaluate them efficiently and effectively
  • Bring an in-depth understanding of sensors, compute and actuators used in self-driving vehicles and drive an architecture with requirements that generate a simple yet very safe highly autonomous vehicle platform
  • Act as a central point of contact at Waabi for specific vehicle platform requirements and related tests and communicate updates, progress and potential roadblocks to stakeholders at all levels
  • Help drive Waabi’s safety culture through application of safety standards and methodologies in your area of responsibility across all supporting teams at Waabi including Systems Engineering, Hardware and Software
  • Define necessary improvements for our highly realistic simulator to effectively verify most vehicle platform aspects under all required conditions and work with other teams at Waabi to get these improvements designed and implemented
  • Own the writing and tracking of tests and test executions in line with company project milestones
  • Continuously evaluate and enhance Waabi’s vehicle platform capabilities, look for novel approaches, identify and apply lessons learned and ensure a detailed and comprehensive documentation that is easily accessible
  • Implement tools and methodologies to streamline and automate the vehicle platform requirement processes where applicable
  • Work with external partners on delivering a safe vehicle platform that has been verified and validated to support a strong safety case for the complete self-driving system

Requirements

Undergrad required; Masters or PhD within an engineering discipline preferred

  • 3+ years of automotive, robotics, aerospace or related industry experience
  • Experience with requirements-specifications and metrics
  • Experience with executing complex vehicle test campaigns
  • Experience with methods and standards such as ISO 26262, SOTIF (ISO 21448) and / or UL 4600
  • Strong fundamentals in mathematics, engineering and physics and basic understanding of vehicle dynamics
  • Excellent data analysis skills with modern tools such as Python or Matlab
  • Open-minded and collaborative leader who is eager to provide guidance and has the willingness to help others
  • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
  • Experience with vehicle actuation (brakes, steering, propulsion) Bonus/nice to have:

  • Experience in launching a driverless product
  • Experience in leading small teams of systems engineers
  • Experience in the automotive self driving industry
  • Experience building software systems from scratch
  • Experience in robotics or machine learning
  • Proficiency with data mining, mathematics, and statistical analysis

Benefits & conditions

The US yearly salary range for this role is: $140,000 - $190,000 USD in addition to competitive perks & benefits. Waabi’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 locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:

  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • 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 both on-site, off-site & virtually.
  • 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:19 min

Advancing autonomous driving capabilities with specialized software talent

Katrin Lehmann Katrin Lehmann +1 · Coffee With Developers

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

2:31 min

Data mining literary works for language patterns

Jen Looper Jen Looper · Europe 2026 Virtual

2:40 min

Motivations for transitioning legacy MATLAB repositories to Python

Michael Niebisch Michael Niebisch · World Congress 2024

2:14 min

Custom domain controllers and vehicle communication networks

Denis Grahovac · World Congress 2021

3:01 min

Transitioning into the automotive artificial intelligence safety field

Tillman Radmer +2 · World Congress 2021

Videos

See all

Related articles

See all