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Applied Computing Jobs in California (NOW HIRING)

As a Quantum Engineer at Rigetti Computing, you will be a key contributor to the development of our ... PhD in Physics or similar applied scientific field, or Masters' in Physics with 2+ years relevant ...

Staff Applied Scientist

Irvine, CA · On-site

$180K - $220K/yr

We are seeking an exceptional Staff Applied Scientist to drive groundbreaking innovation in applied ... Experience with distributed computing, cloud ML platforms (AWS, GCP, or Azure), and real-time AI ...

Background in high-scale or high-performance computing environments * Experience partnering closely with applied science or research teams * Familiarity with causal inference or graph-based systems ...

Showing results 41-60

Applied Computing information

See California salary details

$20.7K

$107.3K

$178.6K

How much do applied computing jobs pay per year?

As of Jul 24, 2026, the average yearly pay for applied computing in California is $107,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,400.00 and $138,200.00 per year, depending on experience, location, and employer.

What can you do with an applied computing degree?

An applied computing degree prepares individuals for roles such as software developer, systems analyst, data analyst, or IT specialist. Graduates can work in software development, network administration, cybersecurity, or data management, often using programming languages, databases, and technical tools. The degree provides practical skills for technology-focused careers in various industries.

Which 3 jobs will survive AI?

Applied Computing professionals such as software developers, cybersecurity analysts, and data scientists are likely to continue thriving as AI automates routine tasks. These roles require complex problem-solving, creativity, and specialized technical skills that are less easily replaced by AI. Continuous learning and adapting to new tools like machine learning frameworks are essential for long-term job security.

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

To thrive in Applied Computing, you need strong analytical abilities, problem-solving skills, and a solid background in computer science or related disciplines, often supported by a relevant bachelor's or master's degree. Familiarity with programming languages, databases, cloud platforms, and certifications like CompTIA, AWS, or Microsoft Azure is highly beneficial. Strong teamwork, effective communication, and project management skills help you excel in multi-disciplinary settings. These qualities enable professionals to design and implement effective technical solutions to complex, real-world problems across industries.

What jobs can I get with applied science?

Applied science graduates can pursue careers such as research scientist, data analyst, systems analyst, software developer, or quality assurance specialist. These roles often require strong problem-solving skills, technical knowledge, and proficiency with tools like programming languages or laboratory equipment.

What types of projects or challenges might I encounter in an Applied Computing role?

In an Applied Computing position, you may work on diverse projects such as developing custom software applications, optimizing business processes with automation, analyzing data for actionable insights, or integrating new technology solutions within existing systems. Challenges often include translating organizational needs into technical requirements, staying current with rapidly evolving technologies, and collaborating closely with stakeholders across departments. You’ll typically collaborate with IT teams, subject matter experts, and sometimes clients to ensure solutions are practical and user-centered. These varied responsibilities keep the role dynamic and provide continual opportunities to expand your technical and professional expertise.

What is an Applied Computing job?

An Applied Computing job involves using computing principles and technologies to solve real-world problems in various industries. Professionals in this field apply software development, data analysis, cybersecurity, and IT management skills to improve business operations and decision-making. These roles can be found in sectors like healthcare, finance, manufacturing, and government, where technology is integrated to optimize processes and drive innovation.

What is the highest paying computing job?

In applied computing, senior roles such as Chief Technology Officer (CTO), solutions architect, and data science director tend to have the highest salaries, often exceeding six figures. These positions typically require advanced skills, extensive experience, and leadership responsibilities in technology development and strategy.
What are popular job titles related to Applied Computing jobs in California? For Applied Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Applied Computing jobs in California look for? The top searched job categories for Applied Computing jobs in California are:
What cities in California are hiring for Applied Computing jobs? Cities in California with the most Applied Computing job openings:
Infographic showing various Applied Computing job openings in California as of July 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $107,350 per year, or $51.6 per hour.
Senior Software Engineering Manager

Senior Software Engineering Manager

Rigetti Computing

Berkeley, CA • On-site

Full-time

Posted 9 days ago


Job description

Job Summary:
Rigetti Computing is a pioneer in full-stack quantum computing, focusing on building powerful quantum computers to address complex challenges. They are seeking a Senior Software Engineering Manager to lead a team responsible for software systems that support the design, fabrication, and maintenance of quantum computers, while also fostering collaboration across various engineering disciplines.
Responsibilities:
• Lead and mentor a cross-functional software engineering team spanning scientific tooling, analytics infrastructure, and fabrication-support systems.
• Create stronger operational rigor around prioritization, execution, accountability, and project delivery.
• Provide coaching, growth support, feedback, and career development for engineers across varying levels of seniority.
• Help establish healthy engineering culture, team norms, and stronger collaboration practices.
• Serve as a day-to-day thought partner to the VP of Software Engineering while helping create additional leadership bandwidth across the organization.
• Participate in hiring and team scaling efforts as the organization grows.
• Partner closely with engineers to drive execution across scientific computing, fabrication tooling, analytics systems, and workflow automation.
• Support development of internal tooling and data systems that connect design, fabrication, and device performance workflows.
• Help modernize and operationalize internal tooling that has historically evolved organically through research and prototyping efforts.
• Drive better long-term ownership, maintainability, and lifecycle planning for internally developed systems and infrastructure.
• Help evolve engineering infrastructure and validation frameworks that improve scalability, reproducibility, and operational reliability across hardware development environments.
• Support technical decision-making, architecture discussions, and engineering prioritization while remaining hands-on enough to engage credibly with the team.
• Contribute technically when appropriate, particularly around debugging, architecture reviews, infrastructure improvements, or smaller engineering initiatives.
• Work closely with quantum engineers, physicists, fabrication engineers, and hardware teams to understand operational pain points and evolving workflow requirements.
• Help balance competing stakeholder requests while improving prioritization discipline and long-term planning.
• Partner with fabrication teams as Rigetti continues evolving manufacturing and foundry operations across Berkeley and Fremont.
• Support systems that connect experimental data, fabrication workflows, characterization tooling, and engineering analytics into scalable internal platforms.
• Help transition the team from highly reactive support work toward more proactive engineering planning and scalable systems development.
• Improve processes around technical debt management, prototype ownership, platform sustainability, and operational support models.
• Create better visibility into engineering priorities, roadmap tradeoffs, and team capacity.
• Support ongoing evolution of Rigetti’s scientific and engineering software ecosystem as the company scales hardware development efforts.
• Oversee the development, and architecture of data platforms and modeling tools that combine design files, fabrication process data, and device performance metrics.
• Empower the development and support for tools for design rule checking (DRC), layout-vs-schematic (LVS) checks, and process-aware design verification for quantum devices.
Qualifications:
Required:
• BS or equivalent degree in Software Engineering, Electrical Engineering, Physics, Applied Physics, or related field; MS or PhD a plus.
• 7+ years of software engineering experience, including 2+ years in a people leadership role, whether formal management or equivalent tech lead capacity
• Demonstrated experience building data systems, ideally in scientific computing or physics-informed models.
• Demonstrated experience with software systems managing large datasets, metadata, and scalable data pipelines.
• Experience with streaming architectures and tools (e.g., Kafka, Kinesis, Spark Streaming).
• Proficiency in Python; familiarity with JavaScript or TypeScript. Comfort in a scientific computing environment is strongly valued.
• Proficiency with AWS for development and production deployment and distributed computing.
• People leadership ability, including coaching, performance management, and building team culture, whether formal management experience or demonstrated informal leadership.
• Strong communication and stakeholder management skills; ability to represent the team's capacity and push back constructively on internal customer requests.
• Hands-on technical ability; should be capable of making code contributions on an as-needed basis, even if day-to-day focus is leadership.
Preferred:
• Knowledge of quantum device physics, such as superconducting qubits, trapped ions, photonics, or quantum information science.
• Knowledge of quantum control systems and low-level hardware/software interfaces, including cryogenic hardware, RF electronics, and qubit calibration.
• Familiarity with fabrication processes in semiconductor, quantum, or other hardware/lab-based environments.
• Familiarity with EDA tools, process design kits (PDKs), and chip layout software such as KLayout or Cadence.
• Experience with scientific computing platforms, simulation tools, and scientific computing libraries/tools such as NumPy, SciPy, PyTorch, etc.
• Experience applying machine learning to scientific, operational, or hardware systems for prediction, optimization, or anomaly detection.
• Experience with compiled languages such as Go or Rust.
Company:
Rigetti Computing is a quantum computing company that builds and deploys full-stack quantum systems with superconducting qubits. Founded in 2013, the company is headquartered in Berkeley, USA, with a team of 51-200 employees. The company is currently Growth Stage.