Sr. Automotive Machine learning engineer

Company:Qualcomm Technologies, Inc.
Job Area:Engineering Group, Engineering Group >
Machine Learning Engineering

General

Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs.

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, Information Systems, or related field.

• 2+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).

• 2+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).

• 2+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)

• 2+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).

• 2+ years experience working in a large matrixed organization.

• 1+ year of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.

• 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).

Principal Duties and Responsibilities:

• Design, implement, and maintain software components running on DSP/NSP processors to meet product goals for latency, throughput, power, robustness, and stability on automotive platforms.

• Translate architecture guidance into clear module designs, APIs/IDLs, and tests; author concise design docs that enable review and execution.

• Profile end-to-end compute paths (CPU↔NSP/DSP), identify bottlenecks using SDK profilers/debuggers, and land measurable performance and power improvements.

• Optimize memory usage and scheduling (e.g., tightly-coupled memory, caching strategies, thread priorities) to achieve target KPIs for real-world workloads.

• Contribute to SDKs, developer tools, samples, and documentation that streamline application development and partner integrations on our AI software stack.

• Collaborate with Platform drivers, virtualization, power/performance, and system teams to align resource provisioning, scheduling, and reliability with feature needs.

• Write high-quality, production-ready code with defensive techniques, fault handling, diagnostics, and long-haul stability tests suitable for automotive deployments.

• Engage with automotive OEMs, Tier‑1s, and ISVs to triage, reproduce, root‑cause, and resolve integration issues in owned modules; deliver patches and guidance.

• Participate in code/design reviews, uphold coding standards and safety/quality practices, and contribute to continuous improvement of team processes.

• Provide data-driven inputs (requirements, prototypes, benchmarks) that inform next-generation DSP/NSP software architecture and tooling.

• Maintain clear change logs and documentation; ensure backward compatibility, versioning discipline, and handoffs across internal/external stakeholders.

• Support release readiness with test coverage, automation, and performance/stability sign-offs for the features you own.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the…