Inside the RoleBuild the future of electric trucks.
At Daimler Truck North America, we're redefining long-haul transportation with cutting-edge battery electric vehicles. Join us as an Embedded Engineer III and help design systems that optimize range, performance, and real-world efficiency for trucks operating in customer fleets every day.
Posting InformationWe provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.
Position offers a salary range of $117,000 to $150,000 USDPay offered dependent on knowledge, skills, and experience.
Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age; starting at 4 weeks paid vacation; 13+ calendar holidays; 8 weeks paid parental leave; employee assistance program; comprehensive healthcare plans and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans.
What You Drive at DTNA- Lead development of vehicle-level energy management strategies across the full development lifecycle (modeling, simulation, embedded implementation and validation)
- Balance competing demands such as range, performance, durability, and driver comfort under real-world conditions
- Collaborate with cross-functional engineering teams for hardware, software, electrical systems and vehicle integration
- Lead or contribute to validation activities for energy management controls in MiL, SiL, HiL and in-vehicle testing
- Correlate simulation results to real-world vehicle behavior, understand differences and maximize energy management systems outputs for a higher overall vehicle performance and high durability
- Use connected vehicle data to understand how e-systems perform in real operations including in fleet usage and make recommendations to improve efficiency and robustness for current and next-generation of e-vehicles
- Ensure alignment across requirements, models, software and validation results
- Contribute to continuous improvement using a structured engineering approach
- Provide technical leadership in energy management, help drive decisions, priorities and system-level solutions across engineering teams
- Strong systems thinking and cross-domain problem-solving skills
- Ownership mindset from concept through vehicle validation
- Effective collaboration across multidisciplinary engineering teams
Knowledge You Should Bring- Bachelor's degree in Electrical Engineering, Mechatronics, Mechanical Engineering and/or Computer Science with 5-7 years of relevant experience or 8+ years of experience in lieu of degree
- Strong technical expertise in energy management in BEVs
- Experience in developing production-intent control strategies for BEVs
- Expert experience with Mathworks toolchain, Vector tools, dSpace or equivalent HiL platform
- Familiarity with embedded systems, ECU integration and vehicle communication networks
- Good knowledge of SEDP or equivalent V-model development processes
- Experience in multi-stage validation environments (MiL, SiL, HiL and vehicle)
- Strong written and verbal communication; able to present technical tradeoffs, risks, and decisions to diverse audiences.
- Strong work ethics, highly motivated, and ability to drive results in a collaborative engineering environment.
Exceptional Candidates Might Have- Experience with heavy-duty or Class 8 vehicle applications
- Experience with predictive or optimization-based energy management
- Familiarity with embedded automotive software development environments and interfaces between controls models and production ECUs
- Proven success working in globally distributed teams (e.g., coordinating deliverables across multiple engineering centers) consistent with global coordination expectations
- Track record of mentoring engineers and building sustainable team practices (planning, metrics, review cadence, technical standards)
- Experience applying modern engineering tools (automation, data analytics, AI-assisted engineering) to improve development efficiency, validation quality, or requirements traceability
- Familiarity with connected vehicle data systems and fleet analytics
#LI-CF1 #LI-ONSITE
Where We Work This position is open to applicants who can work in (or relocate to) the following location(s)-
Portland, OR US. Relocation assistance is not available for this position.
Schedule Type:Onsite
