Jobs · Engineering · California

Development Engineer Sr - Software

Volkswagen Group · San Jose, CA · 1 mo ago
HybridEngineering$159k–$223k/yrFull-time
Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquarters in Wolfsburg, Germany is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN. Brief Role Description This position is a career level 20P and is located in San Jose, CA with a role classification of Hybrid. The Development Engineer Sr- Software will be responsible planning and management projects related to environment modeling, motion planning, behavioral prediction algorithms and software for vehicle control and its interaction with its environment. Testing of these concepts in a simulation environment, its integration into the ADAS projects and the final validation on a customer function level will be part of the responsibilities. Possible Tasks within this Role Product/ Function Development (40%) Project coordination for concept vehicle hardware and software developmentCreate, discuss and align concepts for complex software componentsDevelop and cross‑compile C/C++ and CUDA codeBuild and maintain CI/CD workflows for cross‑compiled builds targeting ARM64/LinuxSpread knowledge and create guidelines for other engineers and provide architectureBuilding/Integrating software and algorithms for path planning, behavioral planning and vehicle controlCollaborating with cross-functional teams within the ADAS development departments in Germany and in the USPerform root‑cause analysis and debugging of platform‑specific issues Project Management (20%) Performing other duties as necessary for completion of projects and achievement of goals.Building a traceabilityDefinition/negotiation/monitoring of requirements and change requestsTracking of development progress and key performance indicators Technical and commercial alignment with local suppliers/development partnersCreation of specific requirements for the marketReporting of project status to the ManagementDefining project approval scopeBuilding traceability within the development process Definition of required scope of local test cases (HW and SW testing, scope: platform)Resource planning for approval activitiesMonitoring of test execution to ensure approval on scheduleGenerate approval recommendation Evaluate Start-ups and other cooperation opportunities with local partners to achieve project goals Error Management (20%) Tracking of issuesLeading ticket reviewsAnalyses of issues with different tooling’s (CANoe, ADTF,…) Verification and Validation (20%) Testing algorithms in simulation, in vehicle in controlled environment, and ultimately in in vehicle in the field.Benchmarking and validating navigation systems for final deploymentCreation of test setups for validation and acceptance testsDefinition of required scope of local test cases (HW and SW testing, scope: platform)Monitoring of test execution to ensure on time approval Qualification requirements 7 - 10 years of work experience in the field of Environmental Modeling and Path Planning for ADAS and Advanced Parking systems Education Required Bachelor’s Degree in Mechatronics, Robotics or equivalent with focus on Computer Vision, Motion/Path Planning or related field Desired Master’s or PhD in Mechatronics, Robotics or equivalent with focus on Computer Vision, Motion/Path Planning or related field Skills Good knowledge of of environmental modeling and a variety of planning techniquesSkilled in motion planning and control theory (e.g., model predictive control, vehicle dynamic modeling)Good programming and algorithm design knowledgeGood programming skills in C/C++ and PythonExperience with software engineering tools like Git, CMake, CI, gdb,etc.Excellent planning and organization skillsGood agile project management know-howEffective analytical and conceptual skills to derive adequate solutions for technical problemsAbility to solve complex problemsAbility to work independentlyExcellent communication skillsOpen minded and empathic work styleExcellent team playerComfortable with ambiguity and tackling new problemsDeep understanding of the vehicle network (communication, flex devices, mapping from previous to new networks, ..) Required Specialized Skills Working knowledge of ROS and/or other message networking middlewareGood knowledge of SLAMExperience with real-time sensor fusionGood knowledge of ADTF framework and working knowledge of ADTF ToolsWorking knowledge of Vector tools like CANalyzer CANape etcGood knowledge of automotive bus systems (FlexRay, CAN).Firsthand experience with CI/CD of softwareGood understanding of Functional Safety concepts for ADAS systems Desired Good German language skillsGood knowledge of Artificial Neural Networks and related libraries like Tensorflow and KerasStrong English language and German language skills (written and spoken) Compensation Data For California and Fully remote jobs only: Salary range is dependent on factors such as geographical differentials, industry-based experience, skills, training, credentials, and other qualifications. In the state of California, the salary range is $159,000.00 - $222,600.00. Volkswagen Group of America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws. This role description is a guideline and does not create contractual rights between the Company and any of its applicants. The Company does not enter into any type of employment contract, implied or written, with its applicants regarding job security. This Organization participates in E-Verify. We maintain a drug free workplace and perform pre-employment substance abuse testing.

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