1 month 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 efforts.
- 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 AI, and generative AI workloads.
- Drive architectural decisions across products, software releases, and customer programs while ensuring performance, reliability, security, safety, and quality requirements.
- Lead cross-functional initiatives, mentor engineers, and provide guidance on architecture, optimization, debugging, and customer deployment challenges.
- Contribute to strategic planning and long-term roadmap development for automotive AI software technologies.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field and 8+ years of relevant experience; alternatively, a master's degree with 7+ years or a PhD with 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++ proficiency and software development experience in Python.
- Strong software architecture and design skills, including distributed systems, embedded software, performance optimization, debugging, testing, and software lifecycle management.
- Experience leading large technical initiatives, globally distributed engineering teams, and cross-functional programs.
- Experience engaging directly with customers and translating requirements into engineering deliverables.
- Experience with QNX, Android Automotive, Linux, or AUTOSAR-based automotive platforms and production programs with OEMs or Tier-1 suppliers.
- Familiarity with ISO 26262, ASPICE, ISO/SAE 21434, automotive cybersecurity, and functional safety development processes.
- 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 CPU, GPU, NPU, DSP, and AI accelerator architectures.
- Experience with Qualcomm AI technologies including QAIRT, QNN, SNPE, and Genie.
- Experience debugging issues spanning application software, middleware, operating systems, drivers, compilers, and hardware platforms.
- Experience with quantization, compression, pruning, compilation, and runtime optimization, plus AI-native and agentic software development proficiency.
- Experience with Git-based source control and Agile software development methodologies, as well as strong communication, presentation, influence, and technical leadership skills.
Benefits
- Competitive annual discretionary bonus program and opportunity for annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
- The posting provides a US benefits information link and indicates that recruiters can discuss available benefits.
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.