About the Company:
American multinational corporation and technology company headquartered in Santa Clara, California, is the world's largest semiconductor chip manufacturer by revenue. The team's unmatched depth of experience and scope of vision allows it to dream big, to create the future of computing and communications—including powerful processors and accelerators that unlock the full potential of data. Continuously delivering advances in performance, power, and connectivity across a diversity of data-centric workloads, so its customers can harness the raw power of data. Company innovations span architecture, memory, software, and security to help develop transformative products and experiences for its customers. 107,000 employees worldwide are working together to enable unique experiences in 5G, artificial intelligence, driverless cars, and much more.
What You’ll Be Doing:
Design, develop, and optimize VPU integrations with different AI frameworks such as WinML, ONNX, OpenVINO, Tensorflow, PyTorch, and NNAPI.
Identify and implement latency, throughput, and power optimizations for ML inference workloads.
Work and collaborate with other AI-focused teams at Intel, our partners, and customers in finding solutions and enhancements for the VPU at a product level.
To be successful in this role, you'll need the following:
Bachelors in Computer Science or related field with 3+ years of experience in the software industry.
Strong software design and coding skills in C/C++.
Solid problem-solving and debugging skills, including postmortem debugging.
Excellent skills in technical communication and teamwork.
Deploying Inference models on frameworks such as: ONNX runtime, TF, CoreML, WinML.
Development of modern compilers, especially with LLVM and MLIR.
Performance analysis and optimization, particularly in machine-learning
Windows or Linux system programming experience.
Low-level device programming experience.
What is Being Offered:
Annual + Quarterly bonuses, stock programs
Cutting-edge health plan options
Generous time off
Life-long career growth opportunities
Education benefits: tuition assistance, classroom and online learning resources, career advisers
Flexible work options, job rotation programs
Wellness programs + Employee Assistance Plans/Programs