Senior Engineer, Firmware Engineering at Sandisk

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Artificial Intelligence, LLM, RAG, C, C++, Operating Systems, Data Structures, Algorithms, Software Development, Systems Programming, Performance Optimization, Memory Management, I/O Subsystems, Firmware Engineering

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 Summary: We are seeking a Software Engineer to contribute to the development of AI/ML software for our AI Privacy Box platform. This role involves implementing and optimizing LLM and RAG workflows, with a focus on efficient use of storage and system resources. Key Responsibilities: Develop AI/ML software components for the AI Privacy Box platform. Implement and integrate LLM and RAG models into the software stack. Work on performance optimization of AI workloads using storage and system‑level techniques. Contribute to system software components interacting with OS, memory, and I/O subsystems. Collaborate with senior engineers on architecture, design, and optimization. Debug, test, and maintain high‑quality, production‑ready code. Required Skills: Knowledge of Machine Learning and AI/ML fundamentals. Exposure to LLMs and RAG concepts or frameworks. Proficiency in C and/or C++. Understanding of Operating Systems concepts. Strong knowledge of Data Structures and Algorithms. Qualifications Education: B.Tech / Bachelor’s degree in Computer Science, Engineering, Mathematics, or related fields. Experience: 1–3 years of software development experience (or strong academic projects). Experience with systems programming or performance‑oriented software is a plus. Interest in system‑level AI optimization and storage‑centric architectures. 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 Business Function: Firmware Engineering Work Location: Bangalore PTP Office (IBP)--LOC_WDT_IBP

Responsibilities

The role involves developing AI/ML software components for the AI Privacy Box platform, including the implementation and integration of LLM and RAG models. You will also focus on performance optimization of AI workloads and contribute to system software interacting with OS, memory, and I/O subsystems.