Full-Time

Staff Engineer

Multiple Teams

Sandisk

Sandisk

1,001-5,000 employees

Develops non-volatile flash memory storage devices

No salary listed

Bengaluru, Karnataka, India

In Person

Category
Hardware Engineering (1)
Required Skills
Bash
Python
C/C++
Data Analysis
Requirements
  • MS Degree in Electrical Engineering, Applied Physics, or a related field
  • C Programming
  • Scripting (Python/Shell scripting)
  • Excellent verbal and communication skills
  • Ability to analyze problem and work independently as required
  • Experience: B.Tech + 5 years work experience or M.Tech + 3 years work experience
Responsibilities
  • Defining, developing, executing, and automating NAND flash memory reliability test; analyze & report data following predefined test flow
  • Push the performance and reliability envelope of flash memory as used in best-in-class high-density storage application
  • Communicate & work with members from Memory Reliability and Product Development, Product Engineering, Test Engineering, Memory system groups
  • Ensure timely product device support, memory qualification, and ramp of BiCS volume production
  • Use knowledge in semiconductor device physics along with strong skills in Failure Analysis, Root Cause Analysis and programming to enhance the performance and reliability of flash memory in advanced high-density storage applications
  • Be part of a team that sits at the hub of activity between storage business units, technology development, memory design, and manufacturing
Desired Qualifications
  • Flash memory testing experience is big plus

SanDisk designs solid-state storage products based on flash memory, a non-volatile technology that preserves data without power. Its offerings include memory cards (CompactFlash, SD) and USB flash drives, using controllers and firmware to manage read/write, error correction, and wear leveling for durable, portable storage. The company helped popularize flash memory for cameras and mobile devices and expanded production to meet growing demand. In 2016, Western Digital acquired SanDisk for about $19 billion, combining flash expertise with HDD leadership to provide a broader range of storage solutions.

Company Size

1,001-5,000

Company Stage

Acquired

Total Funding

$19B

Headquarters

Milpitas, California

Founded

1988

Simplify Jobs

Simplify's Take

What believers are saying

  • Q3 2026 revenue hit $5.95B, up 251% YoY from AI datacenter demand.
  • $42B multi-year AI supply deals secure over third of FY2027 output.
  • Debt-free with $4.5B free cash flow funds $6B share buyback.

What critics are saying

  • Micron floods market with NAND by Q1 2027, slashing SanDisk prices.
  • Samsung undercuts $42B hyperscaler deals using integrated DRAM-NAND in 2027.
  • Nvidia Blackwell GPUs cut NAND demand 30% in data centers by mid-2027.

What makes Sandisk unique

  • SanDisk invented Floating Gate EEPROM in 1988, enabling practical flash memory.
  • SanDisk delivered first 20MB 2.5-inch SSD to IBM in 1991.
  • SanDisk pioneered CompactFlash in 1994 and SD cards in 1999.

Help us improve and share your feedback! Did you find this helpful?

Your Connections

People at Sandisk who can refer or advise you

Benefits

Hybrid Work Options

Remote Work Options

Flexible Work Hours

Phone/Internet Stipend

Home Office Stipend

Professional Development Budget

Conference Attendance Budget

Wellness Program

Mental Health Support

Stock Options

Company Equity

401(k) Retirement Plan

401(k) Company Match

Health Insurance

Dental Insurance

Vision Insurance

Paid Vacation

Paid Sick Leave

Paid Holidays

Parental Leave

Family Planning Benefits

Fertility Treatment Support

Adoption Assistance

Employee Discounts

Gym Membership

Commuter Benefits

Tuition Reimbursement

Tuition Reimbursement

Company News

Yahoo Finance
Apr 2nd, 2026
Sandisk surges 1,200% to become S&P 500's top performer since Liberation Day tariffs

Sandisk has been the S&P 500's top performer since President Trump's "Liberation Day" tariff announcement a year ago, surging 1,200%. The company spun off from Western Digital in February last year to focus on flash memory, benefiting from strong artificial intelligence demand. In its most recent quarter ending 2 January, Sandisk's revenue rose 61% year-over-year to $3 billion, whilst net income jumped from $104 million to $803 million. The company expects revenue could reach $4.8 billion in the current quarter. Despite the rally, Sandisk trades at less than 13 times forward earnings, well below the S&P 500 average of 20. Analysts remain optimistic due to ongoing memory and storage product shortages.

Yahoo Finance
Apr 2nd, 2026
Sandisk soars 9% ahead of earnings, revenues expected to more than double to $4.8B

Sandisk Corp. shares surged 9.03% to $692.73 on Wednesday as investors positioned ahead of the company's third-quarter earnings announcement scheduled for 30 April. The flash memory manufacturer is expected to report revenues between $4.4 billion and $4.8 billion, representing growth of 159% to 182% from $1.7 billion in the same quarter last year. Non-GAAP diluted earnings per share are projected at $12 to $14, reversing a $0.30 loss per share from the prior year. Gross margin is forecast between 64.9% and 66.9%. Earlier this year, Sandisk partnered with SK hynix on High Bandwidth Flash, a next-generation memory solution designed for AI inference workloads, addressing the industry's shift from model training to delivering AI services.

Yahoo Finance
Mar 29th, 2026
Google's TurboQuant AI compression tech hits SanDisk stock with memory demand concerns

Sandisk shares sold off following Google's introduction of TurboQuant, an AI compression technology that could significantly reduce memory requirements for AI models. The announcement prompted investors to reassess long-term demand assumptions for memory-related stocks. TurboQuant directly impacts Sandisk's core business of flash storage products serving data centres, PCs and mobile devices. The memory industry has been closely tied to AI infrastructure buildouts, where demand for fast, dense storage has been a key growth driver. Trading at $615.83, Sandisk's shares are approximately 20% below the analyst target of $770.32. The stock recorded a 30-day return of -3.07% following the news. Debate continues over whether more efficient compression might ultimately expand AI usage overall, potentially supporting memory volumes through increased model counts.

Yahoo Finance
Mar 26th, 2026
Two semiconductor stocks to buy before the memory supercycle peaks with $2,000

Micron Technology has been identified as a semiconductor stock to consider buying during the current memory supercycle. The company, one of three major DRAM producers alongside SK Hynix and Samsung, generates approximately 80% of revenue from DRAM and the remainder from NAND memory. Demand for high bandwidth memory has created supply constraints across the DRAM market, driving prices higher. Last quarter, Micron's revenue surged nearly threefold to $23.9 billion, whilst gross margins jumped to 74.4% from 36.8% year-over-year. The company projects margins will reach 81%. Despite strong performance, Micron trades at a forward P/E of four times fiscal 2027 estimates due to the memory market's historically cyclical nature. However, the company is securing longer contracts, including a five-year deal, providing greater revenue visibility.

Yahoo Finance
Mar 25th, 2026
Google's TurboQuant algorithm rattles memory stocks with 6x compression breakthrough

Memory stocks fell Wednesday after Google unveiled TurboQuant, a compression algorithm that could reduce memory requirements for AI systems. SanDisk dropped 5.7%, Micron Technology fell 3%, Western Digital declined 4.7%, and Seagate Technology slid 4%, despite broader technology sector strength. TurboQuant compresses key-value cache in large language models to 3 bits without requiring training, whilst maintaining accuracy. Testing on open-source models including Gemma and Mistral showed a 6x reduction in memory size and up to 8x performance increase on H100 GPU accelerators. The technology uses PolarQuant compression and the Quantized Johnson-Lindenstrauss algorithm to eliminate errors. Google will present the findings at ICLR 2026 and AISTATS 2026. Memory stocks have rallied significantly year to date, making them vulnerable to demand-reducing developments.