Staff Test Engineer - AI SW Stack ( 9-13 years)

Sandisk; Bengaluru; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Sandisk Bengaluru is seeking an experienced AI Software Stack Test Lead to define, drive, and execute validation strategy for a next-generation AI computational storage platform. This role owns end-to-end verification of the AI software stack, including neural network operators, compiler-generated workloads, runtime execution, memory management, scheduling systems, and model-level performance.

The ideal candidate combines strong software validation expertise with deep knowledge of AI/ML

Qualifications

• 10+ years of experience in AI software validation, systems software validation, performance engineering, or related areas.
• Strong Object-Oriented Programming fundamentals.
• Advanced Python programming for automation and test infrastructure.
• Deep understanding of AI/ML execution pipelines, neural network operators, and deep learning frameworks (PyTorch preferred).
• Runtime architectures, scheduling systems, parallel execution models, memory hierarchy, and DMA concepts.
• Experience validating large-scale AI workloads and inference systems.
• Proven experience building automated test and benchmarking frameworks.
• Strong debugging and root-cause analysis skills.

Responsibilities

• Own and define the end-to-end validation strategy for the AI software stack.
• Establish validation methodologies, coverage metrics, quality gates, and release-readiness criteria.
• Lead validation efforts across operator libraries, runtime systems, execution frameworks, and AI workloads.
• Mentor engineers and drive best practices for automation, performance validation, and debugging.
• Validate neural network operators and compute kernels; verify model inference workflows.
• Validate memory allocation and movement across host and device environments; execute stress tests.

Skills

Object-Oriented Programming

Python programming

AI/ML execution pipelines

Neural network operators

PyTorch

Runtime architectures

Scheduling systems

Debugging

Performance validation

Automation

Tools

VTune

Nsight Systems

Nsight Compute

perf

gprof

Job description

Staff Test Engineer - AI SW Stack ( 9-13 years)

• Full-time
• Job Type (exemption status): Exempt position - Please see related compensation & benefits details below
• Business Function: Systems Architecture

Sandiskunderstands 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.

Sandiskmeets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibilityforward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globallyforinnovation, performance and quality.

Sandiskhas two facilities recognized by the World EconomicForum as part of the Global Lighthouse Networkforadvanced 4IR innovations. These facilities were also recognized as Sustainability Lighthousesforbreakthroughs 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 movingforward.

We are seeking an experienced AI Software Stack Test Lead to define, drive, and execute validation strategy for a next-generation AI computational storage platform. This role owns end-to-end verification of the AI software stack, including neural network operators, compiler-generated workloads, runtime execution, memory management, scheduling systems, and model-level performance.

The ideal candidate combines strong software validation expertise with deep knowledge of AI/ML execution pipelines and will lead validation efforts across compiler, runtime, kernel, and hardware teams to ensure correctness, scalability, reliability, and performance.

Key Responsibilities

Validation Strategy & Technical Leadership

• Own and define the end-to-end validation strategy for the AI software stack.
• Establish validation methodologies, coverage metrics, quality gates, and release-readiness criteria.
• Lead validation efforts across operator libraries, runtime systems, execution frameworks, and AI workloads.
• Mentor engineers and drive best practices for automation, performance validation, and debugging.

Functional Validation

• Validate neural network operators and compute kernels
• Validate graph-level execution and end-to-end model inference workflows.
• Verify numerical correctness against reference frameworks such as PyTorch or TensorFlow.
• Ensure behavioral consistency across software releases and hardware revisions.

Runtime & Execution Validation

• Validate memory allocation and movement across host and device environments.
• Execute stress, concurrency, and multi-device validation scenarios.

Performance & Scalability Validation

• Design and maintain benchmarking frameworks for:
  • Operator-level performance
  • Model-level performance
  • Latency and throughput
  • Time-to-first-token/result
  • Multi-device scaling efficiency

Required Qualifications

• 10+ years of experience in AI software validation, systems software validation, performance engineering, or related areas.
• Strong Object-Oriented Programming fundamentals.
• Advanced Python programming for automation and test infrastructure.
• Deep understanding of:
  • AI/ML execution pipelines
  • Neural network operators
  • Deep learning frameworks (PyTorch preferred)
  • Runtime architectures
  • Scheduling systems
  • Parallel execution models
  • Memory hierarchy and DMA concepts
• Experience validating large-scale AI workloads and inference systems.
• Proven experience building automated test and benchmarking frameworks.
• Strong debugging and root-cause analysis skills.

Preferred Qualifications

• Experience with MLIR, XLA, StableHLO, TVM, ONNX Runtime, TensorRT, or similar compiler/runtime stacks.
• Experience validating GPU, NPU, FPGA, or custom accelerator platforms.
• Hands-on experience with profiling tools such as: VTune,Nsight Systems,Nsight Compute, perf, gprof
• Experience with distributed inference and multi-device execution.
• Familiarity with LLM, multimodal, and generative AI workloads.
• Experience leading software quality and validation teams.

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 [emailprotected] 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.

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply