Who we are
Gatik, the leader in autonomous middle mile logistics, delivers goods safely and efficiently using its fleet of light & medium-duty trucks. The company focuses on short-haul, B2B logistics for Fortune 500 customers including Kroger, Walmart, Tyson Foods, Loblaw, Pitney Bowes, Georgia-Pacific, and KBX; enabling them to optimize their hub-and-spoke supply chain operations, enhance service levels and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries. Gatik’s Class 3-7 autonomous box trucks are commercially deployed in multiple markets including Texas, Arkansas, and Ontario, Canada.
About the Role
We are seeking a talented algorithm engineering expert for our vehicle systems development in the Drive-by-wire field. Your position will involve the algorithm development of embedded ECU software for safety-critical applications such as steering control, brake control or throttle actuation. The development shall involve the model-based development of embedded software as well as preceding phases involving prototyping components. You will use your experience in the automotive series software development to create vehicle chassis control algorithms involving the software development itself, requirements drafting as well as integration of the software in various verification and validation steps. You will be responsible for drafting, designing, testing and triaging the algorithms throughout their whole life cycle.
This role requires working onsite 5 days a week from our Mountain View headquarters.
What You Will Do
- Build and improve vehicle chassis control algorithms for embedded ECU hardware
- Create functionally safe software by following common automotive standards for functional safety
- Design vehicle control software on rapid prototyping toolchains, test algorithms on bench setups, HiL systems and vehicle platforms, and draft requirements for your algorithms
- Ensure software maturity and traceability with professional documentation and collaboration with requirements engineers
- Create and track software release plans as well as testing activities to achieve continuous integration of software products in vehicle and field testing
What We’re Looking For
- Master’s degree in Mechanical/Electrical Engineering, Mechatronics, Robotics or similar, ideally with focus on automotive engineering
- 5+ years of experience in designing electrical systems for automotive platforms
- Demonstrated ability to develop and implement full time critical systems
- Competency in vehicle algorithm design such as vehicle-related control algorithms, state machine design
- High proficiency in model-based software engineering
- Demonstrated ability to meet ambitious timelines with critical deliverables
- Experience with standards and practices such as ISO26262, MISRA-C and AUTOSAR
- Familiarity with automotive embedded systems. Experience with CAN, LIN analysis, and debugging tools (PCAN, CANalyzer, CANape, etc.)
- Familiarity with rapid prototyping hardware such as dSpace Autobox and accompanying software such as ControlDesk
More about Gatik
With headquarters in Mountain View, CA and offices in Canada, Texas and Arkansas. Gatik is establishing new standards of success for the autonomous trucking industry every day. Visit us at
Gatik for more company information and
Jobs @ Gatik for more open roles.
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Taking care of our team:
At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.
We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
