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Computer Science Police Jobs in California (NOW HIRING)

At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby ... San Francisco Police Code, Article 49, and Administrative Code, Article 12 Equal Employment ...

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Computer Science Police information

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$20.1K

$64K

$127.8K

How much do computer science police jobs pay per year?

As of Jun 20, 2026, the average yearly pay for computer science police in California is $63,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,658.00 and $81,765.00 per year, depending on experience, location, and employer.

Is computer science good for FBI?

Computer science is highly relevant for FBI roles, especially in cybercrime, digital forensics, and cybersecurity divisions. Skills in programming, network security, and data analysis are essential, and relevant certifications like CISSP or CEH can enhance prospects within the agency.

Does the FBI hire computer scientists?

Yes, the FBI hires computer scientists for roles in cybersecurity, digital forensics, and cyber operations. These positions often require strong programming skills, knowledge of networks, and security certifications such as CISSP or CEH, with candidates typically needing a relevant degree and security clearance. Computer scientists in the FBI work to investigate cyber crimes and protect national security.

What is a Computer Science Police job?

A Computer Science Police job typically involves using technical expertise to prevent, investigate, and respond to cybercrimes. These professionals work in law enforcement or cybersecurity units, analyzing digital evidence, tracking cybercriminals, and ensuring digital security. They collaborate with agencies to combat hacking, fraud, and online threats. Strong knowledge of computer forensics, network security, and legal procedures is essential for this role.

What are the top 3 highest paying jobs in computer science?

In computer science, the highest paying roles typically include software development managers, solutions architects, and machine learning engineers. These positions often require advanced skills, certifications, and experience, and they tend to offer salaries exceeding $150,000 annually in many regions.

What types of cybercrimes do Computer Science Police typically investigate, and what does a typical case workflow look like?

Computer Science Police are tasked with investigating a wide range of cybercrimes, including hacking, phishing, identity theft, online fraud, and unauthorized access to sensitive data. A typical case involves collecting and preserving digital evidence, analyzing network logs, interviewing witnesses or suspects, and collaborating with specialized cybersecurity teams or other law enforcement agencies. The workflow usually starts with an incident report, followed by securing electronic devices, conducting forensic analysis, and documenting findings for legal proceedings. Cases often require teamwork across departments and may involve testifying in court to present technical evidence. This role combines technical investigation skills with law enforcement protocols to effectively respond to and resolve digital crime incidents.

What are the key skills and qualifications needed to thrive in the Computer Science Police position, and why are they important?

To excel in a Computer Science Police role, individuals need a robust background in computer science, cyber forensics, and law enforcement, often requiring a degree in computer science or information security along with police academy training. Familiarity with digital investigation tools such as EnCase, FTK, and various network security platforms, as well as certifications like CompTIA Security+ or Certified Ethical Hacker (CEH), is highly valued. Strong analytical thinking, attention to detail, and clear communication are essential soft skills for collecting and presenting digital evidence effectively. These capabilities are crucial for successfully investigating and enforcing laws related to cybercrimes, keeping up with evolving threats, and ensuring the integrity of digital investigations.

Can I become a police officer with a computer science degree?

A computer science degree can be beneficial for police officers working in cybercrime units or technology-focused roles within law enforcement. However, becoming a police officer typically requires completing police academy training, passing physical and background tests, and meeting age and residency requirements, regardless of educational background. Additional certifications in cybersecurity or digital forensics can enhance prospects in specialized areas.
What are the most commonly searched types of Computer Science Police jobs in California? The most popular types of Computer Science Police jobs in California are:
What are popular job titles related to Computer Science Police jobs in California? For Computer Science Police jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Police jobs in California look for? The top searched job categories for Computer Science Police jobs in California are:
What cities in California are hiring for Computer Science Police jobs? Cities in California with the most Computer Science Police job openings:
Infographic showing various Computer Science Police job openings in California as of June 2026, with employment types broken down into 3% As Needed, 31% Full Time, and 66% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $63,966 per year, or $30.8 per hour.
PhD Research Intern - Acoustic Data (Fall 2026)

PhD Research Intern - Acoustic Data (Fall 2026)

Dolby Laboratories, Inc.

San Francisco, CA

$62/hr

Other

Posted 9 days ago


Job description

 Join the leader in entertainment innovation and help us design the future. The Advanced Technology Group (ATG) is the research division of the company. ATG's mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby's continued growth. As a valued member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. We continuously push the boundaries of audio, imaging, and cloud technology to create spectacular entertainment experiences.  

As a diverse and dynamic group, our ATG researchers work on cutting-edge projects related to computer science and electrical engineering for audio, video, and cloud technologies, exploring exciting domains such as AI/ML, algorithms, digital signal processing, audio processing, image processing, computer vision, AR/VR, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. 

Summary: 

We are a key research team within Dolby's Advanced Technology Group focused on creating cutting edge technologies that drive immersive audio experiences. As an Acoustic Mapping Intern, you will be exposed to the technologies that enabled Dolby Atmos FlexConnect and be responsible for developing some of the technologies that will enable the next generation of products. In addition to a relevant degree, you will need good communication skills and will be the type of researcher who loves collaborating with and enabling others to jointly produce high-quality outcomes.  

Responsibilities: 

  1. Numerical Optimization 

    • Solve constrained linear and nonlinear optimization problems 

    • Formulate real-world problems as within optimization frameworks 

  1. Acoustics 

    • Measurement and simulation of microphone arrays and loudspeakers 

    • Direction of arrival estimation and beamforming algorithms 

    • Room impulse response analysis and general acoustic signal processing 

  1. Data Analytics 

    • Monte Carlo analysis 

    • Data pipelines - continuous integration workflows, data models, SQL, Spark 

    • Visualization dashboards 

  1. Technical Documentation and Communication 

    • Write and maintain detailed technical documentation 

    • Communicate clearly with colleagues through technical discussions and presentations 

    • Read, write, and publish technical reports and papers 

    • Protect intellectual property by filing patents 

Requirements: 

  • Pursuing a Master's or PhD degree in Electronic Engineering, Computer Science, Mathematics, Physics, or related fields. 

  • Experience with Python, C/C++ 

  • Experience with machine learning/ AI 

  • Experience with acoustic simulations 

Highly Desired: 

  • Familiarity with acoustic modeling tools e.g. COMSOL, Treble, pyroomacoustics 

  • Experience with measurement of real-world acoustics e.g. SMAART 

  • Experience with datavisualization 

  • Experience with data intelligence platforms e.g. Databricks 

We recognize that applying to internships can be a daunting process, especially if you have not had anypreviousinternships, or if this is a new field of interest to you. Even if you do not havepreviousprofessionalexperience to meet the listed qualifications, we will consider relevant project, volunteer, and extracurricular experiences, and we encourage you to include them on your resume and apply. 

We will review applications on a rolling basis. For the best chance to have your resume reviewed and considered, we recommend submitting your application by June 26, 2026.      

Eligibility 

Working towards a Master's or PhD in Electronic Engineering, Computer Science, Mathematics, Physics, or related fields.Recentgradswho are within 6 months of graduation are also eligible to apply. Must be available to work full-time Monday - Friday for 12 weeks between September 2026 - December 2026.  

The start date for this internship is as follows (please note these dates are not flexible):  

  • September 21, 2026 

The San Francisco/Bay Area base hourly range for this internship position is $62/hr and can vary if outside of this location. Our hourly ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.

Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12

Equal Employment Opportunity:
Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.