ADAS Software Engineer

• Leverage advanced knowledge and experience of ADAS Software to design, develop, and optimize complex software for embedded technology blocks that directly enable autonomous and self-driving vehicles.
• Develop and enhance technologies for sensor data acquisition, precise sensor synchronization, etc.
• Develop and verify code or design for a module and works across teams to evaluate the impact of results and validates ADAS software against specifications.
• Design and develop advanced software development kits (SDK) to enable customer proof of concepts.
• Develop efficient techniques to enable data sharing between software modules using state of the art middleware.
• Write detailed technical documentation, descriptions, specifications, and/or feature descriptions for difficult projects to guide users and/or customers to use or implement output.

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We are seeking highly skilled, innovative, and motivated professionals with strong software engineering backgrounds and demonstrated programming proficiency in languages such as C++/C and Python. Primary responsibilities include designing and developing software solutions for sensor data acquisition from devices including IMU, GPS, camera, radar, and LiDAR; ensuring accurate sensor time synchronization; conducting comprehensive system-level benchmarking and utilizing insights to optimize software modules; and collaborating effectively with cross-functional teams-including vehicle integration and testing-to validate deliverables and integrate the software stack in prototype vehicles.”, Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or related field and 2+ years Software Engineering or related work experience. OR Master’s degree in Computer Science, Electrical Engineering, Robotics, or related field and 1+ year Software Engineering or related work experience. OR PhD in Computer Science, Electrical Engineering, Robotics, or related field.

Preferred Qualifications:

• 4+ years of C++ development; C++14 and C++17 is a strong plus
• Embedded SW design and development for safety critical systems is a strong plus
• Proficiency in programming languages such as C++, C, Python
• Experience with multi-threaded / multi-core SW development and design
• Hands-on experience with embedded platforms running QNX, AGL, Safe Linux, etc.
• Knowledge of Linux network stack and any experience with network device drivers is a plus
• Familiarity with Adaptive AUTOSAR middleware and frameworks
• Knowledge / experience with safety critical software development process (Functional Safety), including ASPICE, ASIL, ISO26262, MISRA C++, AUTOSAR C++
• Familiarity with static analysis tools, code coverage metrics, unit test generation
• Experience with source code management tools such as git, git-lfs, GitHub/GitLab
• Excellent written and verbal communication skills
• Ability to work with cross-functional teams

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits: $129,500.00 - $194,300.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.

At Qualcomm, we are advancing the automotive industry through our Snapdragon Digital Chassis, leading the development of next-generation software-defined vehicles.

Snapdragon Ride represents a key component of the Snapdragon Digital Chassis. Since its introduction, it has been adopted by numerous global automakers and Tier 1 suppliers. Designed to navigate the complexities of autonomous driving and advanced driver-assistance systems (ADAS), Snapdragon Ride utilizes high-performance, power-efficient system-on-chip (SoC) architectures, state-of-the-art artificial intelligence (AI) capabilities, and an innovative vision and drive policy stack. This enables the delivery of comprehensive solutions that optimize both cost and energy efficiency.