Full-Time

System Product Engineer New Grad

Posted on 6/12/2026

Sandisk

Sandisk

1,001-5,000 employees

Develops non-volatile flash memory storage devices

No salary listed

Milpitas, CA, USA

In Person

Category
Software Engineering
Required Skills
QEMU
Python
Software Testing
Machine Learning
C/C++
Requirements
  • BS in Electrical Engineering, Computer Engineering, or Computer Science; MS or PhD in the same fields also acceptable
  • 0–5+ years in validation, modeling, infrastructure development, or related fields; fresh PhD graduates with relevant research experience are encouraged to apply
  • Strong Python skills; C/C++ a plus
  • Experience or research background in system modeling, simulation, or workload analysis
  • Understanding of data movement and performance behavior across system components
  • Ability to rapidly absorb complex system architecture and translate understanding into engineering artifacts
  • Hands-on coder or effective AI workflow orchestrator
  • Builder mindset — tools, frameworks, infrastructure
  • Strong system and data intuition
Responsibilities
  • Develop and analyze AI workloads, focusing on memory access characterization, and data movement behavior
  • Generate trace-based and synthetic stress patterns for system-level validation
  • Build lightweight simulation and emulation environments (e.g., QEMU-based system models and customized modeling) for early validation and scalable development environment
  • Map workload to test prior to hardware availability
  • Reduce dependency on full-system emulation/real hardware through independent, scalable frameworks
  • Build C/C++/Python-based automation frameworks with parallel execution, structured logging, and scalable data pipelines
  • Build and maintain spec-to-code pipelines: convert product specifications into structured formats for AI-assisted code generation and automated validation
  • Integrate AI tools for test content generation, debug acceleration, and log analysis
  • Develop workload-aware test firmware aligned with system-level use cases
  • Enable functional coverage based on real workloads, not synthetic-only scenarios
  • Build pipelines for data collection, failure classification, and pattern detection
  • Apply ML techniques where appropriate for anomaly detection and failure clustering
  • Map workload behavior to system stress and device-level impact, enabling translation between real workloads and production test coverage
  • Correlate across compute, memory, and storage subsystems
Desired Qualifications
  • Fresh PhD graduates with relevant research experience are encouraged to apply
  • Comfortable working in ambiguous, early-stage environments
  • Experience with AI-assisted testing or AI-driven validation workflows is desirable
  • Experience with trace-based workload generation and system modeling beyond basics
  • Knowledge of QEMU-based virtualization and emulation environments (if not already in responsibilities)

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

  • Five contracts represent about $42 billion in minimum revenue commitments.[1]
  • Datacenter revenue surged 645% year over year, driven by AI infrastructure demand.[1]
  • Its broad portfolio spans removable cards, USB drives, and enterprise SSDs.[1][2]

What critics are saying

  • Fixed-price contracts cap upside if NAND spot prices rise above agreed levels.[1]
  • Memory markets remain cyclical, so contract assumptions face stress in downturns.[1]
  • NAND supply additions from competitors can pressure pricing and margins over time.[1]

What makes Sandisk unique

  • Eli Harari, Sanjay Mehrotra, and Jack Yuan founded SanDisk in 1988.[1][2]
  • SanDisk pioneered flash memory products, including CompactFlash, SD cards, and USB drives.[1][2]
  • It separated from Western Digital in February 2025 as an independent public company.[7]

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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.