1 day ago
Base Salary
$201k - $301k/yr
Responsibilities
- Serve as the primary AI Software technical lead for the Automotive Business Unit, OEMs, Tier-1 suppliers, and strategic customers.
- Represent Qualcomm in customer discussions, technical deep dives, architecture reviews, and issue resolution.
- Lead or coordinate the design, development, integration, and delivery of AI software features for automotive platforms.
- Translate customer and market requirements into technical requirements, architecture proposals, roadmaps, and execution plans.
- Enhance the Qualcomm AI Stack across model preparation, optimization, runtime, inference, tooling, and developer workflows.
- Lead deployment of computer vision, perception, driver monitoring, voice assistant, LLM, multimodal, and generative AI workloads.
- Drive architectural decisions across products, software releases, and automotive customer programs.
- Coordinate cross-functional efforts across AI Software, Automotive Engineering, Program Management, Product Management, Systems Engineering, and Platform Software.
- Resolve complex issues spanning application software, middleware, operating systems, drivers, compilers, and hardware platforms.
- Mentor engineers and provide technical guidance on architecture, optimization, debugging, and customer deployment challenges.
- Drive strategic planning, long-term roadmap development, and adoption of AI technologies across automotive programs.
- Ensure solutions meet automotive performance, reliability, maintainability, security, safety, and quality requirements.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field plus 8+ years of relevant experience; or a master’s degree plus 7+ years; or a PhD plus 6+ years.
- 15+ years of industry experience in software engineering, embedded systems, AI/ML software, or automotive software development is preferred.
- Expert-level C/C++ development experience and software architecture and design expertise are preferred.
- Experience leading large technical initiatives across multiple teams and organizations, including globally distributed engineering teams and cross-functional programs.
- Experience interfacing directly with customers and translating requirements into engineering deliverables.
- Experience with automotive software platforms such as QNX, Android Automotive, Linux, or AUTOSAR-based environments.
- Experience delivering software for automotive production programs with OEMs or Tier-1 suppliers.
- Familiarity with ISO 26262, ASPICE, ISO/SAE 21434, functional safety processes, and automotive cybersecurity standards.
- Experience with PyTorch, TensorFlow, ONNX, JAX, or equivalent AI/ML frameworks.
- Experience deploying and optimizing CNNs, Transformers, vision-language models, LLMs, and multimodal models.
- Experience with edge AI inference acceleration and heterogeneous compute across CPUs, GPUs, NPUs, DSPs, and AI accelerators.
- Experience with Qualcomm AI technologies including QAIRT, QNN, SNPE, Genie, and related components.
- Experience with model quantization, compression, pruning, compilation, and runtime optimization.
- Software development experience in Python, Git-based source control, Agile development, and AI-native or agentic software development.
- Strong communication, presentation, technical leadership, influence, consensus-building, and decision-making skills.
Benefits
- Pay range is $200,800.00–$301,200.00, with an annual discretionary bonus program and potential annual RSU grants.
- Benefits package is designed to support employees at work, at home, and at play, with additional US benefits information available through Qualcomm.
- Qualcomm provides reasonable accommodations and an accessible hiring process for individuals with disabilities.
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.