2 days ago
Los Altos, CA, USAIntern
H1B sponsor
Responsibilities
- Contribute to next-generation AI inference infrastructure and software technologies.
- Optimize AI models and inference workloads for GPUs and emerging accelerators.
- Develop compiler, runtime, programming language, library, and model-serving technologies.
- Build or scale distributed AI systems, cloud infrastructure, and multi-node or multi-cluster deployments.
- Develop automated performance, quality, testing, evaluation, benchmarking, and reliability frameworks.
- Improve platform, developer, CI/CD, build, release automation, and developer productivity tooling.
- Support software development, full-stack engineering, security engineering, or open-source technology projects depending on project assignment.
Requirements
- Currently enrolled in a bachelor’s, master’s, or Ph.D. program in computer science, computer engineering, electrical engineering, software engineering, mathematics, artificial intelligence, or a related technical field.
- Available for 11–14 weeks during Summer 2027, between May and September.
- Expected graduation date of November 2027 or later.
- At least 1 year of academic or project experience with Python, C, C++, Rust, Go, or related programming languages.
- Preferred experience includes machine learning, deep learning, generative AI, LLMs, transformer architectures, PyTorch, TensorFlow, or Hugging Face.
- Preferred knowledge includes compiler design, runtime implementation, programming languages, MLIR, LLVM, GCC, TVM, or XLA.
- Preferred experience includes parallel computing, GPU programming, high-performance computing, CUDA, ROCm, accelerator programming, kernel optimization, or computer architecture.
- Preferred experience includes AI/ML model optimization, quantization, profiling, benchmarking, inference optimization, and performance analysis.
- Preferred experience includes distributed systems, cloud infrastructure, model serving, Kubernetes, cloud-native technologies, and scalable inference systems.
- Preferred experience includes systems programming, application development, operating systems, APIs, software libraries, developer tooling, testing, CI/CD, and developer productivity tools.
- Preferred familiarity includes AI/ML evaluation, unit and integration testing, regression detection, observability, reliability engineering, reproducibility, and failure analysis.
- Preferred familiarity with NVIDIA Nsight Systems, Nsight Compute, PyTorch Profiler, Linux perf, Intel VTune, or similar profiling tools.
- Preferred knowledge or interest includes software security, AI security, secure development, data protection, access controls, and secure AI systems.
- Open-source contributions, technical documentation, developer education, research experience, or relevant publications are advantageous.
- Strong debugging, analytical, problem-solving, communication, collaboration, curiosity, and learning skills are preferred.
Benefits
- 11–14-week internship during Summer 2027, from May through September.
- Mentorship, manager support, professional development workshops, social events, cross-functional speaker sessions, and executive speaker series.
- Competitive hourly pay and accrued vacation time.
- Relocation coverage and furnished housing accommodations for the internship duration.
- Potential locations include Austin, Boulder, Boxborough, Bridgewater, Chandler, Irvine, New York City, Louisville, Raleigh, San Diego, Santa Clara, and Seattle, depending on team and project needs.
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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.