Full-Time

Senior Staff Electrical Component Engineer

Groq

Groq

201-500 employees

AI inference hardware for cloud and on-premises

Compensation Overview

$160k - $240k/yr

Palo Alto, CA, USA

Remote

Category
Electrical Engineering (1)
Required Skills
MATLAB
Requirements
  • Bachelor’s degree in Electrical Engineering or related field (or equivalent experience)
  • Proven experience in electrical component analysis, testing, and sourcing
  • Strong understanding of electrical engineering principles and design processes
  • Proficient with relevant engineering tools and software (e.g., SPICE, MATLAB, or similar)
  • Excellent communication and teamwork skills, with the ability to work collaboratively with cross-functional teams
  • Strong problem-solving skills and attention to detail
  • Familiarity with industry standards and regulatory requirements related to electrical components
Responsibilities
  • Conduct thorough analysis of electrical components, including resistors, capacitors, semiconductors, connectors, and other electronic parts
  • Evaluate component specifications, performance, and reliability under various conditions
  • Identify and mitigate potential risks related to component selection and integration into designs
  • Work closely with the design engineering team to understand project requirements and provide input on the selection and integration of components
  • Assist in defining the electrical component needs and specifications for new product designs
  • Provide technical support to the design team in addressing component-related issues or challenges during the development phase
  • Research and source appropriate electrical components based on performance, cost, and availability criteria
  • Engage with suppliers to gather data on component specifications, pricing, lead times, and support for design verification
  • Maintain an up-to-date understanding of the component market, including new trends, technologies, and suppliers
  • Support the troubleshooting and resolution of component-related issues in prototype or production stages
  • Maintain records of component selection, testing, and validation processes
  • Prepare technical reports and documentation to communicate component analysis results and recommendations to the broader engineering team
  • Ensure all documentation adheres to industry standards and company protocols
  • Participate in the Engineering Change Order (ECO) process, ensuring seamless documentation and communication of design modifications
  • Utilize Agile methodologies to manage workflows, meet project milestones, and adapt to evolving engineering needs
  • Leverage document control systems (such as Arena or equivalent) to manage and track component documentation, specifications, and revisions
  • Monitor the performance of components in ongoing products, gathering data to inform future designs
  • Collaborate with the team to identify opportunities for improvement in component selection, design integration, and testing processes
Desired Qualifications
  • Experience working in product development or manufacturing environments
  • Familiarity with failure analysis and reliability testing
  • Knowledge of PCB design and component integration
  • Experience with CAD tools and design simulation software

Groq specializes in AI inference technology, providing the Groq LPU™, which is known for its high compute speed, quality, and energy efficiency. The Groq LPU™ is designed to handle AI processing tasks quickly and effectively, making it suitable for both cloud and on-premises applications. Unlike many competitors, Groq ensures that all its products are designed, fabricated, and assembled in North America, which helps maintain high standards of quality and performance. The company targets a wide range of clients who need fast and efficient AI processing capabilities. Groq's goal is to deliver scalable AI inference solutions that meet the demands of industries requiring rapid data processing.

Company Size

201-500

Company Stage

Growth Equity (Non-Venture Capital)

Total Funding

$2.8B

Headquarters

Mountain View, California

Founded

2016

Simplify Jobs

Simplify's Take

What believers are saying

  • Groq's integration with Hugging Face increases exposure to millions of developers worldwide.
  • Partnership with Samsung Foundry positions Groq as a leader in AI chip performance by 2025.
  • Exclusive partnership with Bell Canada enhances Groq's reach in North American AI infrastructure.

What critics are saying

  • Increased competition from AWS and Google may limit Groq's market share expansion.
  • Reliance on Saudi Arabia contract poses financial risk if disrupted or canceled.
  • Aggressive $6 billion valuation target may lead to financial instability if unmet.

What makes Groq unique

  • Groq's LPU™ offers exceptional compute speed and energy efficiency for AI inference.
  • Groq ensures high-quality standards by designing and assembling products in North America.
  • Groq's deterministic performance guarantees predictable outcomes in AI computations.

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Benefits

Remote Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

0%

2 year growth

-6%
Benzinga
Jul 10th, 2025
Groq Eyes $6B Valuation Amid AI Demand

Groq, a rival to Nvidia, is reportedly seeking a $6 billion valuation amid rising AI chip demand. In August 2023, Groq raised $640 million at a $2.8 billion valuation from investors like Cisco, Samsung, and BlackRock. The company was chosen by Saudi-backed AI firm HUMAIN for inference operations. Groq recently opened its first European data center in Helsinki to support global expansion.

TradingView
Jul 9th, 2025
Groq seeks $6B valuation, $500M funding

U.S. semiconductor startup Groq is in talks to raise $300 million to $500 million at a $6 billion valuation, according to The Information. The funds are intended to support a deal with Saudi Arabia, which committed $1.5 billion in February for Groq's AI chips. Groq projects $500 million in revenue this year from Saudi contracts. Previously, Groq raised $640 million in a Series D round, reaching a $2.8 billion valuation.

World Business Outlook
Jul 7th, 2025
Groq Expands to Europe with New Data Center in Helsinki, Finland

Groq, one of the global pioneers in AI inference, announced on July 7th the continued expansion of its global data centre network, establishing its first European data centre footprint in Helsinki, Finland, to meet the growing demands of European customers.

PR Newswire
Jul 7th, 2025
Groq Launches European Data Center Footprint in Helsinki, Finland

Groq launches European data center footprint in Helsinki, Finland.

VentureBeat
Jun 16th, 2025
Groq Just Made Hugging Face Way Faster — And It’S Coming For Aws And Google

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more. Groq, the artificial intelligence inference startup, is making an aggressive play to challenge established cloud providers like Amazon Web Services and Google with two major announcements that could reshape how developers access high-performance AI models.The company announced Monday that it now supports Alibaba’s Qwen3 32B language model with its full 131,000-token context window — a technical capability it claims no other fast inference provider can match. Simultaneously, Groq became an official inference provider on Hugging Face’s platform, potentially exposing its technology to millions of developers worldwide.The move is Groq’s boldest attempt yet to carve out market share in the rapidly expanding AI inference market, where companies like AWS Bedrock, Google Vertex AI, and Microsoft Azure have dominated by offering convenient access to leading language models.“The Hugging Face integration extends the Groq ecosystem providing developers choice and further reduces barriers to entry in adopting Groq’s fast and efficient AI inference,” a Groq spokesperson told VentureBeat. “Groq is the only inference provider to enable the full 131K context window, allowing developers to build applications at scale.”How Groq’s 131k context window claims stack up against AI inference competitorsGroq’s assertion about context windows — the amount of text an AI model can process at once — strikes at a core limitation that has plagued practical AI applications. Most inference providers struggle to maintain speed and cost-effectiveness when handling large context windows, which are essential for tasks like analyzing entire documents or maintaining long conversations.Independent benchmarking firm Artificial Analysis measured Groq’s Qwen3 32B deployment running at approximately 535 tokens per second, a speed that would allow real-time processing of lengthy documents or complex reasoning tasks