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Computer Science Engineering Jobs in California (NOW HIRING)

Canyons School District

$89.24/hr

Mathematics, Science & Engineering Department: Computer Science Opening Date: 10/02/2023 Description We are accepting applications for the Adjunct Computer Science Instructor Applicant Pool. Adjunct ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field. * Experience with Python programming and software development ...

Qualcomm

Compiler Software Engineer

San Diego, CA · On-site

Preferred : • Master's degree or PhD. in Engineering, Information Systems, Computer Science, or related field. • Established record of contributions to open source compiler project. • Strong ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field. * Experience with Python programming and software development ...

LLNL

Data Science Engineer

Livermore, CA

$121K - $154K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field. * Experience with Python programming and software development ...

Grossmont-Cuyamaca Community College District

$70.84 - $86.11/hr

Master's in computer science or computer engineering OR * Bachelor's in either computer science or computer engineering AND Master's in mathematics, cybernetics, business administration, accounting ...

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All JobsComputer Science Engineering JobsComputer Science Engineering Jobs in California

Computer Science Engineering information

See California salary details

$47.9K

$119.9K

$135.7K

How much do computer science engineering jobs pay per year?

As of Jul 10, 2026, the average yearly pay for computer science engineering in California is $119,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $129,800.00 per year, depending on experience, location, and employer.

What jobs can you do with computer engineering?

Computer engineering graduates can pursue roles such as software developer, hardware engineer, systems analyst, network administrator, cybersecurity analyst, and embedded systems engineer. These positions often require knowledge of programming languages, hardware design, and networking, and may involve working in office, lab, or remote environments.

What engineers make $300,000 a year?

Senior software engineers, especially those working in high-demand areas like Silicon Valley or with expertise in AI, machine learning, or cloud computing, can earn $300,000 or more annually. These roles often require advanced skills, extensive experience, and sometimes stock options or bonuses as part of compensation packages.

What is Computer Science Engineering?

Computer Science Engineering (CSE) is a branch of engineering that integrates computer science and engineering principles to design, develop, and maintain software and hardware systems. CSE professionals work on a wide range of technologies, including programming, algorithms, computer networks, databases, artificial intelligence, and cybersecurity. The field prepares graduates for careers in software development, systems analysis, data science, and more. It is one of the most in-demand disciplines due to the increasing reliance on technology across industries.

What is the difference between Computer Science Engineering vs Software Developer?

AspectComputer Science EngineeringSoftware Developer
Required CredentialsBachelor's in Computer Science or related field; sometimes certificationsBachelor's in Computer Science, Software Engineering, or related; certifications optional
Work EnvironmentUniversities, research labs, tech companies, R&D centersTech companies, startups, freelance projects, corporate IT teams
Industry UsageAcademic, research, product development, software designApplication development, coding, testing, deployment
Common Search/ComparisonFocuses on theoretical and foundational knowledgeFocuses on practical coding and project implementation

Computer Science Engineering and Software Developer roles overlap in skills and industry usage, but differ mainly in focus. Computer Science Engineering emphasizes theoretical foundations and research, while Software Developers concentrate on coding and building applications. Both roles are vital in tech industries, with CS Engineering often leading to research or academic careers, and Software Developers working on practical software solutions.

What can a computer science engineer do?

A computer science engineer designs, develops, and maintains software systems, applications, and algorithms. They work with programming languages, data structures, and computer hardware, often collaborating in teams and using tools like integrated development environments (IDEs). Their roles can include software development, system analysis, cybersecurity, and data management.

What are some common challenges faced by Computer Science Engineers in collaborative projects, and how can they be addressed?

Computer Science Engineers often work on multidisciplinary teams where communication gaps, differing technical backgrounds, and unclear project requirements can pose challenges. To address these, effective documentation, regular cross-functional meetings, and utilizing collaborative tools (like version control and project management platforms) are essential. Building strong communication skills and fostering a culture of open feedback help ensure everyone stays aligned and project goals are met efficiently.

What are the key skills and qualifications needed to thrive as a Computer Science Engineer, and why are they important?

To thrive as a Computer Science Engineer, you need strong programming skills, a solid grasp of algorithms, data structures, and systems design, typically backed by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, version control systems such as Git, and certifications like AWS Certified Solutions Architect or CompTIA Security+ are often valuable. Analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills in this role. These competencies are essential for developing robust software solutions, adapting to emerging technologies, and collaborating efficiently in dynamic engineering environments.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-paying industries like finance or technology, can earn $500,000 or more annually, often through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in programming, and working at top-tier companies or in leadership roles.
What are popular job titles related to Computer Science Engineering jobs in California? For Computer Science Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Engineering jobs in California look for? The top searched job categories for Computer Science Engineering jobs in California are:
What cities in California are hiring for Computer Science Engineering jobs? Cities in California with the most Computer Science Engineering job openings:
Computer Science Engineering jobs near you
Infographic showing various Computer Science Engineering job openings in California as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $119,924 per year, or $57.7 per hour.
AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff

AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff

Qualcomm

San Diego, CA • On-site

Full-time

Posted 2 days ago

Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 205 rated software companies

Job description

Job Summary:
Qualcomm Technologies, Inc. is at the forefront of Cloud AI, leveraging its expertise in digital wireless technologies. They are seeking an AI Performance Engineer to optimize and deploy models for efficient inference, working closely with customers and internal teams to enhance AI workloads.
Responsibilities:
• Convert, optimize and deploy models for efficient inference using PyTorch, ONNX.
• Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
• Performance analysis and optimization of LLM, VLM, and diffusion models for inference. Scale performance for throughput and latency constraints.
• Mapping the next generation AI workloads on top of current and future hardware designs.
• Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.
• Analyze complex performance or stability issues to work towards final root cause of underlying problems.
• Create engineering solutions to deliver continuous insights into performance of AI workloads guiding the improvements over time.
• Design and implement high-level kernels, e.g. in Triton, with a focus on generating efficient, low-level code.
Qualifications:
Required:
• Hands-on experience in building and optimizing language models, notably in PyTorch, ONNX, preferably in production-grade environments.
• Deep understanding of transformer architectures, attention mechanisms and performance trade-offs.
• Experience in workload mapping strategies exhibiting sharding or various parallelisms.
• Strong Python programming skills.
• Proactive learning about the latest inference optimization techniques.
• Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.
• Strong communication, problem-solving skills and ability to learn and work effectively in a fast-paced and collaborative environment.
• MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred:
• Background in neural network operators and mathematical operations, including linear algebra and math libraries.
• Understanding of machine learning compilers.
• Experience in converging accuracy and its evaluation methods.
• Knowledge of torch.compile or torchDynamo.
• PhD in Computer Science, Computer Engineering or Machine Learning
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Qualcomm employees say

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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