Qualcomm · 7 hours ago
Sr. Automotive Machine learning engineer
San Diego, CA
Full-time
Onsite
Mid, Senior Level
$141K/yr - $211K/yr
2+ years expQualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. As a Senior Automotive Machine Learning Engineer, you will design and implement machine learning solutions for automotive platforms, collaborating with cross-functional teams to enhance mobile, edge, and IoT products.
Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
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
Qualification
Required
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
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)
Benefits
Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package
Company
Qualcomm
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
10001+ employees
H1B Sponsorship
Qualcomm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2013)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)
Funding
Current Stage
Public CompanyTotal Funding
$3.5M1991-12-20IPO
1988-01-01Undisclosed· $3.5M
Leadership Team
Cristiano Amon
President and Chief Executive Officer
I
Isaac Eteminan
CEO
Recent News
2025-12-31
2025-12-31
2025-12-30
Company data provided by crunchbase