ZipRecruiter

Log In

1

Phd Computer Science Jobs in Riverside, CA (NOW HIRING)

Silvus Technologies

FPGA Design Engineer

Irvine, CA · On-site

$100K - $140K/yr

OR an advanced degree (MS or PhD) in Electrical Engineering, Computer Science, or related fields * Proven expertise working with multiple clock-domain, high-utilization FPGA designs. * Experience ...

Marvell

Staff Physical Design Engineer

Irvine, CA · On-site

$146K - $150K/yr

Bachelor's degree in Computer Science, Electrical Engineering or related fields and 3-5 years of related professional experience or Master's degree and/or PhD in Computer Science, Electrical ...

Marvell

Optical Communications DSP Architecture

Irvine, CA · On-site

$16 - $19.50/hr

Or Master's degree and/or PhD in Computer Science, Electrical Engineering or related fields with 5-10 years of experience. Preferred Requirements: * A strong signal processing/digital communications ...

next page

Showing results 1-20

All JobsPhd Computer Science JobsPhd Computer Science Jobs in Riverside, CA

Phd Computer Science information

See Riverside, CA salary details

$58.9K

$86.7K

$102.2K

How much do phd computer science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for phd computer science in Riverside, CA is $86,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $97,500.00 per year, depending on experience, location, and employer.

Is a CS PhD worth it?

A PhD in Computer Science can lead to careers in academia, research, or specialized industry roles that require advanced technical expertise. It typically involves several years of study, research, and publication, and is valuable for positions that demand deep knowledge or innovation in areas like artificial intelligence, algorithms, or data science.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

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

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What is the salary of a PhD in computer science?

A PhD in computer science typically earns a salary ranging from $80,000 to over $150,000 annually, depending on the industry, location, and experience. Academic positions, research roles, and industry jobs such as software engineering or data science may have different salary ranges, with industry roles generally offering higher compensation.

Can I make 200K with a computer science degree?

A PhD in Computer Science can lead to high-paying roles such as research scientists, data scientists, or senior software engineers, where salaries of $200,000 or more are achievable, especially in tech hubs or with extensive experience. However, reaching this level typically requires advanced skills, experience, and sometimes additional certifications or leadership responsibilities.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, and university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.
What are popular job titles related to Phd Computer Science jobs in Riverside, CA? For Phd Computer Science jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Riverside, CA look for? The top searched job categories for Phd Computer Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Phd Computer Science jobs? Cities near Riverside, CA with the most Phd Computer Science job openings:
Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Riverside, CA as of June 2026, with employment types broken down into 1% Internship, 3% As Needed, 29% Full Time, and 67% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $86,705 per year, or $41.7 per hour.

Network Software Engineer, Real-Time Systems

FieldAI

Irvine, CA • On-site

Full-time

Posted 12 days ago

Job description

Job Summary:
FieldAI is a company based in Irvine, California, focused on building risk-aware, reliable AI systems for robotics. They are seeking a Network Software Engineer to design and deploy low-latency communication systems that enable real-time interaction between robots and remote operators, tackling challenges like network handoffs and maintaining performance under varying conditions.
Responsibilities:
• Build low-latency, bidirectional audio/video streaming systems for telepresence and teleoperation
• Design and optimize real-time communication over private 5G and heterogeneous networks
• Monitor and improve network performance (latency, jitter, packet loss, throughput) in dynamic environments
• Implement QoS strategies, congestion control, and adaptive streaming for reliable operation
• Develop, test, and deploy communication systems directly on robotic platforms
• Ensure robust performance under mobility, degraded connectivity, and real-world conditions
Qualifications:
Required:
• MS or PhD in Computer Science, Robotics, Electrical Engineering, or a related field
• Strong experience building real-time or near real-time communication systems (e.g., TCP/UDP, RTP/RTCP, WebRTC)
• Solid understanding of networking fundamentals, especially in wireless and cellular contexts (latency, jitter, handoffs, bandwidth constraints)
• Experience working with Linux networking and debugging tools (e.g., tcpdump, iperf, ss, iw)
• Familiarity with distributed systems and device-to-cloud communication architectures
• Experience developing and validating systems on physical hardware, not just simulations
• Working knowledge of ROS/ROS2 or similar frameworks for distributed robotic systems
Preferred:
• Experience deploying systems over cellular networks (LTE/5G), including private 5G setups
• Background in telepresence, teleoperation, or real-time audio/video streaming systems
• Deep understanding of adaptive bitrate, congestion control, QoS, and fault-tolerant networking
• Experience with media and streaming frameworks (e.g., WebRTC, GStreamer, RTP pipelines)
• Familiarity with mesh networking or device-to-device communication systems
• Experience designing systems that gracefully handle intermittent connectivity and mobility
• Strong ownership mindset, from system design through real-world deployment and iteration
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply