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Entry Level Embedded Software Jobs in Sunnyvale, CA

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Entry Level Embedded Software information

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$82.2K

$180K

$204.2K

How much do entry level embedded software jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level embedded software in Sunnyvale, CA is $180,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $154,300.00 and $203,000.00 per year, depending on experience, location, and employer.

What is an entry level embedded software engineer?

Entry level embedded software engineers are professionals who design, develop, and test software that runs on specialized hardware devices, such as microcontrollers or embedded systems, often at the start of their careers. They typically work with programming languages like C or C++ and collaborate closely with hardware engineers to ensure software and hardware integration. These roles often involve tasks such as writing code for device drivers, debugging software, and performing basic testing, all under the guidance of more experienced engineers. Entry level positions are ideal for recent graduates or those new to embedded systems, providing foundational experience in this field.

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

To thrive as an Entry Level Embedded Software Engineer, you need a solid background in C/C++ programming, basic knowledge of embedded systems, and a relevant degree such as electrical engineering, computer science, or a related field. Familiarity with microcontrollers, real-time operating systems (RTOS), debugging tools, and version control systems like Git is typically required. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help you excel in this role. These skills are essential to developing reliable software, collaborating with hardware teams, and meeting project requirements in embedded system environments.

What are some typical challenges faced by entry level embedded software engineers, and how can they overcome them?

Entry-level embedded software engineers often encounter challenges such as debugging hardware-software interactions, understanding real-time constraints, and adapting to unfamiliar development environments. New engineers can overcome these hurdles by actively seeking mentorship from senior team members, practicing with debugging tools, and studying relevant hardware documentation. Regular collaboration with hardware engineers and participation in code reviews can also help build confidence and technical competence, while ensuring smoother integration and project delivery.

What is the difference between Entry Level Embedded Software vs Entry Level Firmware Engineer?

AspectEntry Level Embedded SoftwareEntry Level Firmware Engineer
Required CredentialsBachelor's in Computer Engineering, Electrical Engineering, or related fieldBachelor's in Electrical Engineering, Computer Engineering, or related field
Work EnvironmentEmbedded systems development, hardware integration, real-time OSFirmware development, microcontroller programming, hardware interfacing
Industry UsageConsumer electronics, automotive, medical devicesConsumer electronics, IoT devices, industrial equipment
Common Search/ComparisonYesYes

Entry Level Embedded Software and Entry Level Firmware Engineer roles often overlap in skills and industry usage. Both require knowledge of microcontrollers, programming languages like C, and understanding of hardware-software integration. The main difference lies in terminology: embedded software focuses broadly on software running on embedded systems, while firmware engineering emphasizes low-level programming directly on hardware. Both roles are essential in developing embedded products across various industries.

What are the most commonly searched types of Embedded Software jobs in Sunnyvale, CA?

The most popular types of Embedded Software jobs in Sunnyvale, CA are:

What are popular job titles related to Entry Level Embedded Software jobs in Sunnyvale, CA?

For Entry Level Embedded Software jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Embedded Software jobs in Sunnyvale, CA look for?

The top searched job categories for Entry Level Embedded Software jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Entry Level Embedded Software jobs?

Cities near Sunnyvale, CA with the most Entry Level Embedded Software job openings:

Infographic showing various Entry Level Embedded Software job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $180,019 per year, or $86.5 per hour.

Machine Learning Engineer, Search Quality

Glean

Mountain View, CA • On-site

$140K - $265K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 29 days ago


Job description

About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.
At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean's agentic capabilities - AI agents that automate real work across teams by accessing the industry's broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.
Recognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
If you're excited to shape how the world works, you'll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
About the Role:
Glean is looking for engineers to help build the world's best search and assistant product for work. Our engineers work on a range of systems across the stack, including query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems.
You will:
  • Invent new signals to improve the personalization of our search engine
  • Train a model to capture interactions between signals in our ranking system
  • Design smarter ways to domain-adapt language models to each customer's corpus
  • Discover new ways of combining LLMs with search engines to answer complex questions
  • Write robust code that's easy to read, maintain, and test
  • Mentor more junior engineers, or learn from battle-tested ones

About you:
  • 2+ years of experience
  • BA/BS in computer science, math, sciences, or a related degree
  • Experience working with search, recommendation, natural language processing, or other large systems involving machine learning
  • Strong analytical skills and ability to work with data
  • Proven ability to design, build, and ship production-ready models
  • Proficiency in your ML framework of choice
  • Strong coding skills (Python, Go, Java, C++, ...)
  • Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must
  • A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features

Location:
  • This role is hybrid (4 days a week in our Mountain View office)

Compensation & Benefits:
The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We're committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
#LI-HYBRID
AI-First Mindset at Glean:
At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking "Submit Application," I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.