Principal Engineer, Firmware Verification Engineering (Neural Accelarator) at Sandisk

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

03 Jan, 26

Salary

0.0

Posted On

05 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Firmware Development, Embedded Systems, AI Framework Validation, Neural Processing Units, Debugging, Performance Validation, Scripting, Automation, Communication Interfaces, Continuous Integration, Test Plans, Root Cause Analysis, Linux Kernel Drivers, Microcontroller Architectures, Benchmarking Tools, Agile Development

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 About the position You will be part of the Firmware Verification Team that designs and develops white box and grey box tests to verify firmware of storage systems for AI workloads. You will be working closely with product architects and firmware engineers to create a comprehensive firmware verification test. In this role, you will be technically leading a team, contributing to developing test strategies, executing validation plans, and ensuring the robustness of firmware that enables AI computation near data, directly on Edge AI storage inference accelerators and devices. Key Responsibilities: Validate firmware for edge AI inference accelerators and storage devices with focus on AI framework integration (TensorFlow Lite, ONNX Runtime) Design and execute test plans for low-level firmware functions, including bootloaders, memory management, task scheduling, and AI accelerators Validate AI accelerator performance metrics including throughput, latency, and power efficiency for neural processing workloads Interface with cross-functional teams (firmware, ASIC, hardware, systems) to isolate and debug firmware issues at the hardware/software boundary Collaborate closely with firmware engineers & architects on product architecture and designs to define the comprehensive verification plan to deliver a high quality product to customers on time Design, Develop and Integrate the white box and gray box tests on SSD products in roadmap inline with latest methodologies Conduct test plan reviews and code reviews to ensure the tests are scalable and meeting the requirements Contribute to continuous integration pipelines for automated testing and validation Analyze test results, generate detailed bug reports, and drive resolutions with engineering teams Document findings, contribute to root cause corrective action (RCCA) reports, and ensure closure of high-priority issues Qualifications Required Qualifications & Skills: BE/B.Tech/ME/M.Tech degree in Electronics & Electrical Engineering, Computer Engineering or related field Minimum 8+ years of experience in firmware development or validation for embedded systems Experience with embedded processors, RTOS, memory interfaces, and microcontroller architectures including ARM Cortex-A/M series, ARC, and RISC-V CPU architectures Proficiency in scripting and automation (Python, Bash) and familiarity with C/C++ Good understanding of communication interfaces such as I2C, SPI, UART, PCIe, Ethernet, and USB Experience with AI framework validation (TensorFlow Lite, ONNX Runtime) and AI accelerator performance validation Knowledge of AI workloads, neural processing units (NPUs), and AI accelerator architecture validation Experience with benchmarking tools including MLPerf and AI benchmark suites for neural accelerator performance validation Expertise in debugging and profiling AI workloads including neural network execution profiling on dedicated accelerators and performance bottleneck identification Knowledge of Git, CI & source code management flow and agile development practices Knowledge of Linux kernel drivers and debugging tools 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 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.

Responsibilities

You will validate firmware for edge AI inference accelerators and storage devices, focusing on AI framework integration. Additionally, you will design and execute test plans for low-level firmware functions and collaborate with cross-functional teams to ensure firmware robustness.