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Assistant Computer Engineering Technology Jobs in California

TEEMA

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

... technology. In this role, you will design and implement computer vision solutions that track ... Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, or ...

Revelyst

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Revelyst is a company focused on innovative sports technology, and they are seeking a Computer Vision Engineer to design and implement vision-based systems for real-time tracking in golf products.

Scripps Health

Biomed Engineering Tech

San Diego, CA

$26 - $34.50/hr

The Biomed Engineering Tech performs general hands-on service and technical tasks including but not ... Knowledge of computer networks * AAMI CABT or AAMI CBET certifications * CompTIA A , CompTIA Net or ...

Qualcomm

CPU Integration CAD Engineer

Santa Clara, CA · On-site

$167K - $250K/yr

Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > CPU Engineering General Summary: NUVIA is now part of Qualcomm. Our mission is to reimagine silicon and create computing ...

Scripps Health

Biomed Engineering Tech

San Diego, CA

$26 - $34.50/hr

The Biomed Engineering Tech performs general hands-on service and technical tasks including but not ... Knowledge of computer networks * AAMI CABT or AAMI CBET certifications * CompTIA A , CompTIA Net or ...

Super Micro Computer

Product Engineer

San Jose, CA · On-site

$85K - $97K/yr

We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our ... Bachelor's or Master's degree in Computer Engineering, Computer Science, or Electrical Engineering.

Sierra Pacific Industries

Engineer - Computer

Anderson, CA · On-site

$70K - $115K/yr

Interface with industry's latest sensor technologies * Build user interfaces, improving user ... Bachelor's degree in Computer Science, Computer Engineering, or comparable degree * Proficient in C ...

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Assistant Computer Engineering Technology information

What is the difference between Assistant Computer Engineering Technology vs Computer Engineering Technician?

AspectAssistant Computer Engineering TechnologyComputer Engineering Technician
CredentialsAssociate degree or diploma in computer engineering technologyAssociate degree or diploma in computer engineering technology
Work EnvironmentSupport roles in labs, offices, or manufacturing settingsTechnical support, testing, and troubleshooting in labs or field
Employer & IndustryTech companies, manufacturing, government agenciesElectronics, telecommunications, computer hardware firms
Common TasksAssisting in hardware/software setup, basic troubleshootingTesting hardware, maintaining systems, assisting engineers

Both roles typically require similar educational backgrounds and work in technical environments. The Assistant Computer Engineering Technology often supports engineering teams with basic tasks, while the Computer Engineering Technician focuses more on testing, troubleshooting, and maintaining hardware and systems. The roles are complementary within the tech industry, with overlapping skills and responsibilities.

What are the most commonly searched types of Computer Engineering Technology jobs in California? The most popular types of Computer Engineering Technology jobs in California are:
What are popular job titles related to Assistant Computer Engineering Technology jobs in California? For Assistant Computer Engineering Technology jobs in California, the most frequently searched job titles are:
What job categories do people searching Assistant Computer Engineering Technology jobs in California look for? The top searched job categories for Assistant Computer Engineering Technology jobs in California are:
What cities in California are hiring for Assistant Computer Engineering Technology jobs? Cities in California with the most Assistant Computer Engineering Technology job openings:
Assistant Computer Engineering Technology jobs near you
Infographic showing various Assistant Computer Engineering Technology job openings in California as of May 2026, with employment types broken down into 1% As Needed, 91% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Technology Enablement Engineer

Technology Enablement Engineer

Super Micro Computer

San Jose, CA • On-site

$85K - $157K/yr

Full-time

Posted 9 days ago

Job description

Job Req ID: 26569
About Supermicro:
Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us.
Job Summary:
Supermicro is seeking a Technology Enablement Engineer to join our high-performance team at our Global Headquarters in San Jose.
As a leader in Application-Optimized Total IT Solutions, #Supermicro continues to experience unprecedented global expansion. This role is dedicated to accelerating the deployment of world-class AI infrastructure by optimizing the intersection of HW architecture and SW stacks.
The Role: You will serve as a technical linchpin, translating complex AI/ML requirements into optimized Supermicro configurations. Your primary focus will be the enablement and optimization of high-performance software environments for Enterprise and Hyperscale customers.
Essential Duties and Responsibilities:
Core Technical Focus:
• GPU Software Stacks: Experience in navigation of the NVIDIA CUDA and AMD ROCm ecosystems to ensure seamless hardware-software integration.
• AI Frameworks: Knowledge of PyTorch, TensorFlow, and JAX to validate and optimize performance on Supermicro's GPU-optimized servers.
• System Enablement: Familiar with the latest NVIDIA and AMD platforms to deliver turnkey AI clusters.
Key Responsibilities:
• Solution Architecture: Design end-to-end AI infrastructure solutions incorporating high-speed networking (InfiniBand/Ethernet) and advanced GPU topologies.
• Performance Optimization: Benchmark and tune AI software stacks to maximize throughput and minimize latency for LLM training and inference.
• Strategic Enablement: Collaborate with Engineering and Product Management to influence the roadmap for AI-optimized Building Block Solutions®.
• Technical Training: Educate internal teams and global customers on the deployment of containerized AI workloads and orchestration.
Qualifications:
• Bachelor's degree in electrical or computer engineering, or with relevant experience; Master's degree will be a plus
• 5+ years of experience in hardware or solutions integration is highly preferred
• Expertise: Hands-on experience with CUDA and/or ROCm development and optimization.
• Background: Strong understanding of Linux environments, containerization (Docker/Kubernetes), and distributed computing.
• Communication: Ability to distill complex GPU architecture concepts into actionable business strategies for C-suite and engineering stakeholders.
At Supermicro, you are at the epicenter of the AI revolution. We offer a fast-paced, engineering-first culture where your work directly impacts the most advanced data centers in the world.
Salary Range
$85,000 - $157,000
The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs.
EEO Statement
Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

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