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Synthetic Data Generation Jobs in Riverside, CA (NOW HIRING)

Staff Physical Design Engineer

Irvine, CA

$146K - $150K/yr

About Marvell Marvell's semiconductor solutions are the essential building blocks of the data ... Exploredevelopment and adoption of next-generation physical design methodologies, flows, and ...

We are looking for Digital Design Engineer for design and development of next generation image ... Integrate and validate ISP data pipes according to PRD/design specification & system architecture ...

Sr. Digital Design Engineer

Irvine, CA · On-site

$120K - $150K/yr

... next generation image sensors and related technologies. The candidate should have strong ... Integrate and validate ISP data pipes according to PRD/design specification & system architecture ...

We are looking for Digital Design Engineer for design and development of next generation image ... Integrate and validate ISP data pipes according to PRD/design specification & system architecture ...

... generation of products that will delight and inspire millions of Apple customers every day. You ... test scripts, analyzing lab data, proposing experiments, and validating signal processing ...

... generation of products that will delight and inspire millions of Apple customers every day. You ... test scripts, analyzing lab data, proposing experiments, and validating signal processing ...

Timing Radio Integration Engineer

Irvine, CA · On-site

$111K - $150K/yr

... generation wireless SoC's into high-volume production at sophisticated CMOS technology nodes for ... synthesis and FE-STA to be able to work with digital teams to architect high speed data paths and ...

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Synthetic Data Generation information

See Riverside, CA salary details

$32.3K

$97.2K

$176.3K

How much do synthetic data generation jobs pay per year?

As of Jun 9, 2026, the average yearly pay for synthetic data generation in Riverside, CA is $97,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $150,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a Synthetic Data Generation role, and why are they important?

To excel in a Synthetic Data Generation role, you need a solid background in computer science, statistics, and data science, often supported by a relevant degree and experience in machine learning. Familiarity with tools such as Python, TensorFlow, PyTorch, and synthetic data generation platforms, as well as knowledge of privacy-preserving techniques, is typically required. Strong problem-solving abilities, creativity, and effective communication set top performers apart in this field. These skills and qualities are crucial for creating high-quality, realistic synthetic datasets that support robust AI model development while safeguarding sensitive information.

What is synthetic data generation?

Synthetic data generation is the process of creating artificial datasets that mimic real-world data. This technique is used to supplement or replace actual data for purposes such as machine learning, software testing, and research, especially when real data is scarce, sensitive, or costly to obtain. Synthetic data can help improve model accuracy, protect privacy, and enable innovation by providing diverse and unbiased datasets. It is commonly used in fields like healthcare, finance, and autonomous vehicles.

What is the difference between Synthetic Data Generation vs Data Analyst?

AspectSynthetic Data GenerationData Analyst
Required CredentialsKnowledge of data science, programming, and data privacyDegree in statistics, data science, or related field
Work EnvironmentData science teams, research labs, tech companiesBusiness environments, analytics teams, consulting firms
Industry UsageAI development, machine learning, data privacyBusiness insights, reporting, decision-making
Search & Comparison IntentUnderstanding data generation techniques, privacy solutionsAnalyzing data, generating reports, insights

While Synthetic Data Generation focuses on creating artificial data for privacy and model training, Data Analysts interpret existing data to provide business insights. Both roles require data-related skills but serve different purposes within the data ecosystem.

What are the main challenges faced by professionals working in synthetic data generation, and how can they be addressed?

Professionals in synthetic data generation often encounter challenges such as ensuring the generated data accurately represents real-world scenarios while maintaining privacy and data security. Balancing realism with anonymization is crucial, especially when synthetic data is used for AI model training or testing. Collaboration with data scientists, domain experts, and privacy officers is common to validate data utility and compliance with regulations. Staying current with advances in generative models and data validation techniques also helps address these challenges and contributes to career growth in this rapidly evolving field.
What are popular job titles related to Synthetic Data Generation jobs in Riverside, CA? For Synthetic Data Generation jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Synthetic Data Generation jobs in Riverside, CA look for? The top searched job categories for Synthetic Data Generation jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Synthetic Data Generation jobs? Cities near Riverside, CA with the most Synthetic Data Generation job openings:
Infographic showing various Synthetic Data Generation job openings in Riverside, CA as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 67% In-person, 12% Hybrid, and 21% Remote job distribution, with an average salary of $97,230 per year, or $46.7 per hour.
Senior Staff Engineer, ASIC/VLSI Synthesis and Design

Senior Staff Engineer, ASIC/VLSI Synthesis and Design

Marvell Technology, Inc.

Irvine, CA • On-site

$146K - $150K/yr

Full-time

Life, Retirement

Posted 22 days ago


Job description

About Marvell
Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.
At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.
Your Team, Your Impact
As Generative AI continues to advance, the performance drivers for data center infrastructure are shifting from systems-on-chip (SOC) to systems of chips. In the era of Accelerated Computing, data center bottlenecks are no longer limited to compute performance, but rather the system interconnect bandwidth, memory bandwidth, and memory capacity. Marvell's Photonic Fabric™ is the next-generation interconnect technology that delivers a tenfold increase in performance and energy efficiency compared to competing solutions.
The Photonic Fabric™ is available to our customers in multiple technology offerings, including optical interface chiplets, optical interposers, and Optical Multi-chip Interconnect Bridges (OMIB). This allows customers to easily incorporate high bandwidth, low power, and low latency optical interfaces into their AI accelerators and GPUs. The technology is fully compatible with both protocol and physical layers, including standard 2.5D packaging processes. This seamless integration enables XPUs to utilize optical interconnects for both compute-to-compute and compute-to-memory fabrics, achieving bandwidths in the tens of terabits per second with nanosecond latencies.
This innovation empowers hyperscalers to enhance the efficiency and cost-effectiveness of AI processing by optimizing the XPUs required for training and inference, while significantly reducing the TCO2 impact. To bolster customer collaborations, Marvell is developing a Photonic Fabric ecosystem consisting of tier-1 partnerships that include custom silicon/ASIC design, system integrators, HBM memory, assembly, and packaging suppliers.
What You Can Expect
About The Role
We are seeking a highly skilled and experienced synthesis and ASIC front-end implementation Engineer to join our team. The ideal candidate will have a strong background in timing constraints development, synthesis and front-end implementation flows & methodologies for both SOC level and block level. They should have experience that includes logic synthesis (MMMC synthesis), logic equivalency checks, STA, timing constraints, functional ecos, hard IP integration, timing budgeting, optimization and timing closure of high-speed designs. Additionally, experience with deep technology nodes such as 5nm/4nm would be valued.
Essential Duties And Responsibilities
  • Develop and validate timing constraints for intricate SoC designs.
  • Collaborate with Architecture, RTL, DFT, and Analog teams to understand the design requirements, analyze the timing complexities, and develop consolidated timing modes and constraints for synthesis, PnR and chip timing sign-off flows.
  • Own and contribute to various Front-End Implementation tasks & flows like Synthesis, UPF development, Logical Equivalence Checks (LEC), Functional ECOs, etc.
  • Analyze and understand the tradeoffs between power/performance and area goals to drive them into overall chip implementation flows.
  • Perform Physical Aware Synthesis using industry-standard tools like Fusion Compiler.
  • Resolve or find workarounds for tool issues, independently or working with EDA tool vendors.
  • Automate Front End Flows and processes using scripting languages such as Tcl or Python.
  • Ensure compliance with Netlist Handoff checklists and criteria for delivery to PD.
  • Document best practices and lessons learned to drive continuous improvements in future projects.

What We're Looking For
Qualifications
  • Bachelor's degree in Computer Science, Electrical Engineering or related fields and 5-10 years of related professional experience OR Master's degree and/or
    PhD in Computer Science, Electrical Engineering or related fields with 3-5 years
    of experience.
  • Minimum of 5 years of industry experience in ASIC implementation and synthesis.
  • Strong understanding of ASIC design flows, from RTL to GDSII.
  • Knowledge and hands-on experience with synthesis and STA methodologies and implementation.
  • Proficiency in using synthesis tools, STA tools, and scripting languages (e.g., Tcl, Perl).
  • Experience with high-complexity silicon in advanced technology nodes, preferably TSMC N4/N5.
  • Strong understanding of timing constraint development for hierarchical designs.
  • Experience doing functional ECOs using industry standard tools and flows like Conformal ECO.
  • Experience with UPF development for blocks and SoCs. UPF validation using tools like Conformal Low Power (CLP)
  • Familiarity with physical design and timing optimization techniques and strategies to achieve timing closure.
  • Proven track record of delivering successful designs on time and meeting performance, power and area goals.
  • Excellent problem-solving skills, attention to detail, and ability to analyze and debug complex issues.
  • Strong communication and collaboration skills to work effectively within cross-functional teams.

Expected Base Pay Range (USD)
135,900 - 201,130, $ per annum
The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.
Additional Compensation and Benefit Elements
Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.
Interview Integrity
To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.
These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.
This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.
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