Senior/Staff Algorithm Engineer - Vehicle Chassis - Gatik

Who we areGatik, 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 roleWe 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 at our Mountain View, CA office.What You Will DoBuild and improve vehicle chassis control algorithms for embedded ECU hardwareCreate functionally safe software by following common automotive standards for functional safetyDesign vehicle control software on rapid prototyping toolchains, test algorithms on bench setups, HiL systems and vehicle platforms, and draft requirements for your algorithmsEnsure software maturity and traceability with professional documentation and collaboration with requirements engineersCreate and track software release plans as well as testing activities to achieve continuous integration of software products in vehicle and field testingWhat We’re Looking ForMaster’s degree in Mechanical/Electrical Engineering, Mechatronics, Robotics or similar, ideally with focus on automotive engineering5+ years of experience in designing electrical systems for automotive platformsDemonstrated ability to develop and implement full time critical systemsCompetency in vehicle algorithm design such as vehicle-related control algorithms, state machine designHigh proficiency in model-based software engineeringDemonstrated ability to meet ambitious timelines with critical deliverablesExperience with standards and practices such as ISO26262, MISRA-C and AUTOSARFamiliarity 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 ControlDeskMore about GatikFounded 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 choosing the middle mile – with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors.
Given extensive knowledge of Gatik’s well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.Visit us at Gatik for more company information and Careers at Gatik for more open roles.Notable NewsForbes: Forget robotaxis.
Upstart Gatik sees middle-mile deliveries as the path to profitable AVsTech Brew: Gatik AI exec unpacks the regulations that could shape the AV industryBusiness Wire: Gatik Paves the Way for Safe Driverless Operations (‘Freight-Only’) at Scale with Industry-First Third-Party Safety Assessment FrameworkAuto Futures: Autonomous Trucking Group Gatik Secures Investment From NIPPON EXPRESS HOLDINGSAutomotive News: Gatik foresees hundreds of self-driving trucks on road soon, and that's just the beginningForbes: Isuzu And Gatik Go All In To Scale Up Driverless Freight ServicesBloomberg: Autonomous Vehicle Startup Takes Off by Picking Off Easier RoutesReuters: Driverless vehicles on limited routes bump along despite US robotaxi scrutinyTaking care of our teamAt 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.