ZipRecruiter

Log In

1

Embedded Jobs in Rancho Cordova, CA (NOW HIRING)

SmartIPlace

Project Manager

Sacramento, CA · On-site

Project and task management for embedded Airports IT. This applies to projects that are either: * Large, IT-centric initiatives led by Airports IT, or * The IT portion of a project led by another ...

Nextracker

Robotics Quality Engineer

Folsom, CA

$77K - $99K/yr

Evaluate and approve suppliers for electronic and robotic assemblies-PCBs, actuators, control boards, sensors, and embedded systems. * Audit supplier facilities to confirm process capability ...

Solidigm

Senior FW Engineer - Pathfinding

Sacramento, CA · On-site

$127K - $168K/yr

Develop embedded software for environments with constrained timing and memory resources, with a focus on prototyping proofs of concepts for new storage innovations. * Design and implement reusable ...

Nextracker

Autonomy Engineer

Folsom, CA

These systems combine perception, planning, control, embedded compute, and cloud infrastructure to increase inspection capacity, improve safety, and enable scalable operations. We are seeking a ...

Deloitte

Oracle Tech Cloud Manager

Sacramento, CA

Designing and delivering embedded artificial intelligence (AI) agent capabilities within Oracle Cloud, including Oracle AI Agent Studio, Fusion embedded agents, and Oracle Cloud Infrastructure (OCI ...

Nextpower

Autonomy Engineer

Folsom, CA · On-site

These systems combine perception, planning, control, embedded compute, and cloud infrastructure to increase inspection capacity, improve safety, and enable scalable operations. We are seeking a ...

previous pagenext page

Showing results 21-40

All JobsEmbedded JobsEmbedded Jobs in Rancho Cordova, CA

Embedded information

See Rancho Cordova, CA salary details

$74.7K

$163.6K

$185.6K

How much do embedded jobs pay per year?

As of Aug 9, 2026, the average yearly pay for embedded in Rancho Cordova, CA is $163,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,300.00 and $184,600.00 per year, depending on experience, location, and employer.

What is the difference between Embedded vs Firmware Engineer?

AspectEmbeddedFirmware Engineer
Required CredentialsTypically requires a degree in electrical engineering, computer engineering, or related fields; certifications in embedded systems are a plusUsually holds a degree in computer science, electrical engineering, or related; certifications in embedded or firmware development are common
Work EnvironmentDesigning and developing embedded systems for hardware devices, often in manufacturing or consumer electronicsWriting low-level code to control hardware, often in consumer electronics, automotive, or industrial sectors
Industry UsageUsed across industries like automotive, medical devices, consumer electronics, and industrial automationCommonly found in sectors requiring close hardware-software integration, such as IoT, consumer gadgets, and automotive

Embedded professionals focus on designing and implementing embedded systems hardware and software, while Firmware Engineers primarily develop low-level code to control hardware components. Both roles require similar skills and credentials but differ in their specific focus areas within hardware-software integration.

What are embedded jobs?

Embedded jobs refer to positions involving the development and maintenance of embedded systems, which are specialized computing devices integrated into larger systems such as appliances, vehicles, or industrial equipment. These roles typically require skills in programming languages like C or C++, knowledge of hardware interfaces, and experience with real-time operating systems (RTOS).

What are the key skills and qualifications needed to thrive as an embedded engineer?

To thrive as an Embedded Systems Engineer, you need a solid background in electronics, computer engineering, and programming languages such as C/C++, often supported by a relevant degree. Familiarity with microcontrollers, real-time operating systems (RTOS), and hardware debugging tools is typically required, along with certifications like Certified Embedded Systems Engineer (CESE) being advantageous. Strong problem-solving skills, attention to detail, and effective teamwork greatly enhance performance in this role. These capabilities are crucial for designing reliable, efficient embedded solutions that power a wide range of devices and systems.

What is an embedded engineer?

Embedded engineers are professionals who design, develop, and maintain embedded systems—specialized computing systems that are part of larger devices and dedicated to specific functions. These systems are commonly found in products like cars, medical devices, home appliances, and industrial equipment. Embedded engineers work with both hardware and software, often programming microcontrollers or microprocessors to interact with sensors, actuators, and other electronic components. Their work ensures that devices operate efficiently, reliably, and safely according to specifications.

How hard is it to get an embedded job?

Securing an embedded engineering position typically requires a strong understanding of embedded systems, programming languages like C or C++, and experience with hardware integration. Competition can be moderate to high, especially for entry-level roles, but having relevant skills, certifications, and practical experience can improve chances of success.

What are some common challenges faced by embedded engineers when working on cross-functional teams?

Embedded engineers often collaborate with hardware designers, software developers, and testing teams to deliver integrated products. One common challenge is ensuring clear communication between disciplines, as each team may use different technical terminology and have varying priorities. Additionally, embedded engineers must frequently balance hardware limitations with software requirements, requiring creative problem-solving and compromise. Regular cross-team meetings and thorough documentation can help address these challenges and keep projects on track.

Is embedded systems still a good career?

Embedded systems engineering remains a strong career choice due to ongoing demand in industries like automotive, healthcare, and consumer electronics. Professionals in this field should have skills in programming languages such as C and C++, and familiarity with hardware design and real-time operating systems. The industry offers stable employment opportunities with continuous technological advancements.
What cities near Rancho Cordova, CA are hiring for Embedded jobs? Cities near Rancho Cordova, CA with the most Embedded job openings:
Embedded jobs near you
Infographic showing various Embedded job openings in Rancho Cordova, CA as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $163,624 per year, or $78.7 per hour.

Principal AI Workflow Engineer

Solidigm

Rancho Cordova, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago

Job description

Company Description
Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible.
Job Description
The Principal Engineer, AI Transformation is a senior technical leader and individual contributor embedded within Solidigm's Firmware Organization. This role serves as the technical right-hand to the Head of AI Transformation, responsible for evaluating emerging AI technologies, designing practical adoption strategies, and leading the end-to-end integration of AI capabilities into firmware engineering workflows. The ideal candidate brings deep expertise in both large language models (LLMs) and agentic AI systems alongside a strong foundation in embedded systems development, enabling them to bridge the gap between cutting-edge AI innovation and the rigorous demands of storage firmware engineering.
Key Responsibilities
  • Evaluate emerging AI technologies and define a firmware AI roadmap aligned to business priorities, engineering efficiency, and measurable impact.
  • Prototype, validate, and scale AI tools and workflows for code generation, review, testing, bug triage, and documentation in firmware engineering.
  • Design and deploy agentic AI, RAG systems, and domain-specific LLM pipelines using firmware knowledge and defect data.
  • Build AI-assisted tooling across CI/CD, IDEs, and build systems to improve quality, reduce review time, and accelerate development cycles.
  • Identify high-value AI use cases across the firmware lifecycle, including simulation, modeling, regression testing, coverage analysis, and validation automation.
  • Serve as the firmware organization's AI technical leader, guiding architecture, defining best practices, coaching engineers, and driving AI upskilling.
  • Partner across AI Platform, Security, Legal, IT, DevOps, and executive leadership to define success metrics and ensure secure, compliant AI adoption.
  • Architect secure, scalable AI infrastructure and build external partnerships with vendors and research institutions to advance AI-driven firmware engineering.

Qualifications
Candidates must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed below would be obtained through a combination of schoolwork/classes/research and/or relevant previous job and/or internship experiences.
Minimum Requirements:
  • 10+ years of software or embedded engineering experience, with deep expertise in C/C++ development for embedded systems, RTOS environments, or storage firmware.
  • Demonstrated hands-on experience building, fine-tuning, deploying, or integrating large language models (LLMs) and agentic AI systems in production or near-production environments.
  • Experience designing AI-assisted developer tooling (code generation, review automation, test synthesis) that integrates with existing CI/CD and engineering workflows.
  • Deep understanding of firmware validation techniques including unit testing, integration testing, simulation frameworks, and hardware-in-the-loop (HIL) testing.
  • Strong technical communication skills with the ability to influence senior engineering leaders and translate complex AI capabilities into pragmatic engineering strategies.

Preferred Qualifications
  • Background in storage technology, SSD firmware, NAND flash systems, or semiconductor engineering environments.
  • Experience with MLOps platforms and AI infrastructure (e.g., model serving, evaluation pipelines, vector databases, LLM gateways).
  • Familiarity with AI-driven EDA tools, hardware design automation, or silicon lifecycle engineering.
  • Contributions to open-source AI or firmware engineering projects, or publications in relevant technical communities.
  • Experience with advanced prompt engineering patterns, multi-agent system design, or LLM-based software engineering research (SWE-bench, etc.).

Additional Information
This position is also eligible to participate in Solidigm's restricted stock unit (RSU), restricted cash unit (RCU), and cash bonus programs. In addition, Solidigm offers a benefits package that includes medical, dental, vision, supplemental life and AD&D insurance; short- and long-term disability; healthcare and dependent care flexible spending accounts, and a company match on eligible 401(k) plan contributions.
The compensation range for this role is $196,240 - $314,000. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.
Powered by SmartRecruiters - Candidate Privacy Policy

Apply