AI Software Lead – PyTorch & CUDA Runtime (Next-Gen Accelerator) at Sandisk

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

PyTorch, CUDA, C++, Neural Network Operator Development, Operator Fusion, Runtime Systems, Performance Engineering, Memory Hierarchy, Parallel Execution, TensorFlow, JAX, XLA, MLIR, GPU/NPU Optimization, LLM Optimization, Deep Learning

Industry

Semiconductor Manufacturing

Description

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description Role Overview We are looking for a Software Lead (8+ years’ experience) to own the runtime and neural network (NN) layer of a next-generation AI accelerator platform. This role focuses on designing, optimizing, and implementing NN operators and developing new ops using CUDA/custom runtime APIs to deliver high-performance execution on custom AI hardware. Key Responsibilities Design and optimize NN operators for performance-critical workloads Develop new NN ops using CUDA/custom runtime APIs Drive runtime-level optimizations across compute, memory, and scheduling Own runtime ↔ NN layer interfaces and execution model Implement and optimize operator fusion (e.g., matmul + bias + LayerNorm) for efficient hardware utilization Identify and resolve performance bottlenecks across the stack Collaborate with compiler, PyTorch framework, and low-level SW teams Impact Own how efficiently AI workloads execute on the platform Drive performance, scalability, and hardware utilization through optimized runtime and NN ops design Qualifications Required Qualifications 8+ years in systems software / runtime / performance engineering Strong experience with: PyTorch / TensorFlow / JAX or similar frameworks NN operator/kernel development and optimization operator fusion and graph-level optimizations Hands-on expertise in: C/C++ and CUDA (or similar low-level programming) runtime systems and execution engines Strong understanding of: memory hierarchy, data movement, and parallel execution Preferred Qualifications Experience with GPU/NPU or custom AI accelerators Familiarity with XLA / MLIR / compiler-runtime interaction Experience optimizing LLM or large-scale DL workloads Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 05/06/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-KH1 Job Type (exemption status): Exempt position - Please see related compensation & benefits details below Business Function: Firmware Engineering Work Location: Bangalore PTP Office (IBP)--LOC_WDT_IBP

Responsibilities

Lead the design and optimization of the runtime and neural network layer for a next-generation AI accelerator platform. Focus on implementing high-performance NN operators and resolving performance bottlenecks across the software stack.