S

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

Accepting applications

Sandisk · Bengaluru, Karnataka, India

Full-Time Mid_senior AIC++Deep learningFPGAMentor
Estimated market salary
₹22-40 LPA

This is a SiliconBoard market estimate, not an employer-posted salary.

Posted
22h ago
Category
Design
Experience
Mid_senior
Country
India
Company Description

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.

Job Description

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
Qualifications

Required Qualifications

10+ years of experience in AI software validation, systems software validation, performance engineering, or related areas.
Strong C++ software development expertise.
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.

Additional Information

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 atjobs.accommodations@sandisk.comto 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.
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