We are seeking a skilled Custom Software Engineer to design, code, and enhance system components. This role involves utilizing modern frameworks and agile methodologies to deliver scalable, high-performance solutions that meet specific business requirements. The ideal candidate will contribute to the development of custom software solutions, ensuring they are robust and efficient.

This position offers an opportunity to work on cutting-edge technology, focusing on tailored software development. You will be instrumental in translating complex business needs into functional software applications. Join us to build innovative solutions within a dynamic team environment.

Key responsibilities include supporting software development for ADAS projects, ensuring compliance with ISO 26262, ASPICE, and cybersecurity standards. You will collaborate with OEMs, Tier-1 suppliers, and internal teams to align on technical and programming objectives. Additionally, you will support the development of cloud-based vehicle data platforms and V2X communication strategies. The role also involves integrating AI/ML for perception and decision-making, and utilizing GenAI tools for code generation, test automation, and documentation.

Further tasks include leveraging GenAI accelerators for requirements analysis, defect prediction, and test case generation. You will also contribute to engineering knowledge reuse and apply agile practices for efficient project delivery. The focus is on creating scalable, high-performing solutions adapted to unique business needs.

Candidates should possess 2 to 4 years of experience in ADAS or autonomous driving technologies, with strong knowledge of embedded systems, real-time software, and automotive communication protocols like CAN, LIN, and Ethernet. Experience with RTOS, ADTF, AUTOSAR, and NVIDIA DRIVE SDK is essential. Familiarity with ISO 26262, ASPICE, and ISO/SAE 21434 standards, along with experience in cloud connectivity and V2X communication, is required.

Proficiency in AI/ML for perception and decision-making, plus exposure to global automotive markets and regulatory environments, are important. Hands-on experience with NVIDIA Omniverse, Isaac Sim, and GenAI engineering tools is a significant advantage. Knowledge of model-based development and simulation frameworks, including specific ADAS and autonomous systems features, vehicle architectures, and communication protocols, is expected. Experience in functional safety (ISO 26262) and ASPICE process implementation is mandatory. A Bachelor's or Master's degree in Electrical Engineering, Computer Science, or Automotive is a prerequisite.