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Applied Computing Jobs in California (NOW HIRING)

We are looking for an Applied Scientist III to join our algorithmic and research science team. You ... Proficient in scientific computing with Python, including packages such as NumPy, SciPy, PyTorch ...

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Applied Computing information

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$20.7K

$107.3K

$178.6K

How much do applied computing jobs pay per year?

As of Jun 9, 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 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 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 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:
Lead Quantum Device Theorist

Lead Quantum Device Theorist

Rigetti Computing

Berkeley, CA • On-site

$195K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

As a Lead Quantum Device Theorist, you will play a central role in advancing the performance of our superconducting quantum processors. This position requires deep expertise in circuit QED, quantum device physics, and noise modeling for quantum error correction (QEC). You will work closely with experimental teams to model processor dynamics and lead efforts to improve qubit readout fidelity and quantum gate performance across our R&D platforms.
This role demands strong cross-functional collaboration with specialists in qubit readout, gate calibration, control systems, and superconducting circuit design. Together, you will drive innovations that support scalable architectures, quantum advantage, and fault-tolerant error correction.
We are seeking a candidate who excels at solving complex device-physics challenges in large-scale superconducting quantum processors. You will develop mitigation strategies grounded in first-principles modeling, including optimal Hamiltonian engineering, noise-spectral analysis, and system-level simulations spanning design, and post-deployment characterization. This role requires deep expertise in circuit QED, tunable coupler architectures, multi-level system dynamics, and decoherence mechanisms, along with the ability to translate theoretical insights into experimentally actionable improvements in gate and readout performance. Strong collaboration across device design, calibration, and control teams is essential.
Key Responsibilities
  • Develop and maintain advanced simulation tools to accurately model noise sources in flux-tunable superconducting qubits
  • >
  • Model and analyze entangling gate operations on superconducting quantum processors
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  • Apply optimal control techniques to improve quantum gate and readout performance
  • >
  • Develop analytical tools to interpret experimental measurements and diagnose performance anomalies
  • >
  • Perform detailed error-budget modeling to support quantum error correction (QEC) efforts
  • >
  • Collaborate cross-functionally with teams in gate operations, measurement, device design, applications, algorithms, and control engineering.
  • >

Required Qualifications
  • Ph.D. in Physics, Applied Physics, Electrical Engineering, or a related field, plus 5+ years of relevant work experience
  • >
  • Modeling noise in large scale processors and inform Hamiltonian designs
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  • Experience simulating open quantum systems
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  • Experience collaborating with experimentalists on readout and noise characterization; analyzing and interpreting experimental data, and predicting anomalies
  • >
  • Background in gate-based quantum computing or superconducting circuits, either academically or in industry
  • >
  • Demonstrated depth and breadth in circuit QED physics, including Hamiltonian modeling, dispersive readout theory, and multi-qubit coupling architectures
  • >
  • Proven expertise in noise modeling for quantum error correction, including coherent and incoherent error channels, leakage, crosstalk, and correlated noise
  • >
  • Strong programming skills in Python for scientific applications
  • >
  • Ability to excel in a collaborative environment
  • >
  • Excellent communication skills
  • >

Preferred Qualifications
  • Experience with optimal control theory applied to superconducting qubits.
  • >
  • Familiarity with quantum error correction codes and fault-tolerant architectures.
  • >
  • Track record of publications in relevant peer-reviewed journals.
  • >
  • Experience with high-performance computing or GPU-accelerated simulations.
  • >
  • Proficiency with scientific computing libraries such as QuTiP, or Stim.
  • >

$195,000 - $225,000 a year
Base Salary
Rigetti complies with all local and state regulations in regards to displaying salary ranges. Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills, and geographic location. Rigetti offers a full slate of benefits from competitive salaries, equity, medical, dental and vision for employees as well as a 401(k) plan, a paid parental leave program, rejuvenation days, and a vacation policy that aligns with local regulations and industry standards.
As engineering leaders, we value diversity and are committed to building a culture of inclusion to attract and engage innovative thinkers. Our technology, meant to serve all of humanity, cannot succeed if those who built it do not mirror the diversity of the communities we serve. Applications from women, minorities, and other under-represented groups are encouraged.
About Rigetti
Rigetti Computing is a pioneer in full-stack quantum computing. The company has operated quantum computers over the cloud since 2017 and serves global enterprise, government, and research clients through its Rigetti Quantum Cloud Services platform. The company's proprietary quantum-classical infrastructure provides ultra-low latency integration with public and private clouds for high-performance practical quantum computing. Rigetti has developed the industry's first multi-chip quantum processor for scalable quantum computing systems. The company designs and manufactures its chips in-house at Fab-1, the industry's first dedicated and integrated quantum device manufacturing facility. Rigetti was founded in 2013 and today employs more than 150 people with offices in the United States, U.K., and Australia. Learn more at www.rigetti.com.
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Export Licensing Compliance
Rigetti is committed to full compliance with applicable anti-discrimination laws. We are an equal opportunity employer and value diversity at our company. We strive to create an inclusive work environment and will not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.