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Computing Jobs in California (NOW HIRING)

Astrolab

Lead Computing Electrical Engineer

Hawthorne, CA · On-site

$183K - $230K/yr

Lead Computing Electrical Engineer Application Deadline: 23 June 2026 Department: Avionics Employment Type: Full Time Location: Hawthorne, California Reporting To: Jake Peery Compensation: $183,000 ...

Astrolab

Lead Computing Electrical Engineer

Hawthorne, CA · On-site

$162.70K - $169.80K/yr

The Lead Computing Electrical Engineer will lead the Computing Electrical Engineering group and participate in all aspects of the development and test of Avionics hardware for Astrolab rovers. The ...

Astrolab

Lead Computing Electrical Engineer

Hawthorne, CA · Hybrid

$183K - $230K/yr

The Lead Computing Electrical Engineer will lead the Computing Electrical Engineering group and participate in all aspects of the development and test of Avionics hardware for Astrolab rovers. The ...

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$29.4K

$104.6K

$180.2K

How much do computing jobs pay per year?

As of May 30, 2026, the average yearly pay for computing in California is $104,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,077.00 and $138,560.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a Computing role, and why are they important?

To thrive in a Computing role, you need strong analytical skills, programming proficiency, and a relevant degree in computer science, information technology, or a related field. Familiarity with programming languages (such as Python, Java, or C++), operating systems, and development environments is typically required, and certifications like CompTIA, AWS, or Microsoft can be beneficial. Effective problem-solving, teamwork, and communication skills help you collaborate on projects and explain technical concepts to non-technical stakeholders. These skills are crucial for designing, implementing, and maintaining reliable computing solutions in a rapidly evolving technology landscape.

What are some common challenges faced by professionals working in computing, and how can they be managed?

Professionals in computing often encounter rapidly changing technologies and evolving project requirements, which can make it challenging to stay current and maintain effective workflows. Managing tight deadlines and collaborating across multidisciplinary teams also requires strong communication and adaptability. To address these challenges, it's important to engage in continuous learning, participate in team knowledge-sharing sessions, and utilize project management tools to stay organized and aligned with colleagues.

What are computing jobs?

Computing jobs refer to careers that involve the use of computers and technology to solve problems, process information, or create software and systems. These roles can include software developers, IT support specialists, data analysts, network administrators, and cybersecurity professionals, among others. Computing professionals work in various industries, developing applications, managing computer networks, analyzing data, or ensuring digital security. The field is broad and constantly evolving as technology advances, offering diverse opportunities for specialization and career growth.

What is the difference between Computing vs Network Administration?

AspectComputingNetwork Administration
Required CredentialsTypically includes degrees in Computer Science, certifications like CompTIA A+ or Cisco CCNAOften requires certifications like Cisco CCNA, CompTIA Network+
Work EnvironmentWorks with hardware, software, and systems across various IT sectorsFocuses on managing and maintaining computer networks and infrastructure
Employer & Industry UsageUsed broadly in tech companies, IT departments, and software firmsCommon in organizations with extensive network needs, such as ISPs, corporations, and government agencies

Computing encompasses a wide range of IT roles including hardware, software, and systems management, while Network Administration specifically focuses on maintaining and securing computer networks. Both roles require similar certifications and often overlap in work environments, but computing offers broader scope beyond networks.

What are popular job titles related to Computing jobs in California? For Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Computing jobs in California look for? The top searched job categories for Computing jobs in California are:
What cities in California are hiring for Computing jobs? Cities in California with the most Computing job openings:
Computing jobs near you
Senior Accelerated Computing Architect

Senior Accelerated Computing Architect

NVIDIA

Santa Clara, CA • On-site

Full-time

Posted 16 days ago

Job description

Job Summary:
NVIDIA is developing software and system architectures for accelerated high performance computing, scientific computing, machine learning, AI, datacenter, and automotive computing. This position offers you the opportunity to make a meaningful impact in a fast-moving, technology focused company.
Responsibilities:
• Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.
• Creating and optimizing core parallel algorithms, data structures, and reference codes to provide the best possible solutions for NVIDIA GPUs.
• Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications.
• Actively collaborating with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing.
• Diving into accelerated computing applications to facilitate software-hardware co-design.
• Writing up and presenting your work by writing white papers, conference publications, official blog posts, patent applications, etc. as appropriate.
Qualifications:
Required:
• An MS or Ph.D. in Computer Science, Computer Engineering or Electrical Engineering, or equivalent experience
• 6+ years of relevant work experience
• Strong mathematical fundamentals, including linear algebra and numerical methods.
• A passion for performance optimization.
• Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL.
• Strong knowledge of C and C++ with solid understanding of software design, programming techniques, and algorithms.
• Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
Preferred:
• Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM.
• Familiarity with threading APIs for multicore CPUs and Unix-style Inter-process Communication (IPC) APIs.
• Familiarity with Python.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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