Firmware Engineer Intern - Winter 2027
- Compensation
- Not disclosed
- Location
- Ottawa, Canada
- Work setup
- Not specified
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Embedded
- Posted
Skills
Must have
- Candidate MUST be currently pursuing a BS degree in CS/EE or related technical field(s)
- 1+ years of related course work
- Must be curious and driven to learn more about this complicated field
- Preferred Requirements:
- Excellent problem solving skills, with good verbal and written communication skills in English
- You can explain why as well as how you solved a problem
- Strong Programming skills in C and Python, with knowledge of git, linux, makefiles, gdb, IDEs, and bash a plus
- Strong understanding of the software development flow, from issue tracking (Jira), SCM (gitlab), design & code reviews (also gitlab), continuous integration (Jenkins), and regression testing
- Understanding the fundamentals of computer and processor architecture
- Basic understanding of how a processor interacts with memories and peripherals
- Understanding of fundamental networking from the OSI model, with emphasis on the PHY up to the data link level
- Experience working on MCU embedded processors environments is a plus
- Hands-on experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor) is a strong plus, along with the ability to critically evaluate AI-generated code
Full 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.
This is an existing vacancy.
Your Team, Your Impact
The software team is looking for a strong candidate with a positive attitude – ready to tackle any challenge. Join us and get the opportunity to make a meaningful impact to the projects we work on while gaining first-hand experience what it is like to be part of a high performing SW development team.
ODSP PHY SW Team works on Marvell's Networking PAM4 DSPs for use in data center optical modules. The SW team owns all the SW components that interacts with the DSPs, including embedded FW, customer SDK, lab test, and QA. The SW team is a critical part of the product development flow and is the goto group for getting things done, whether in the field or the lab.
Marvell's DSPs are used in 100G to 1.6T optical modules in every major cloud data center around the world. Even the data used for this job description has travelled through many of Marvell's DSPs to reach your computer, and our products are a key part of the biggest AI clusters that power all the latest generative AI projects.
What You Can Expect
- Develop embedded C FW for controlling extremely complicated DSP HW
- Develop C & Python test code for utilities, GUIs, regression, and simulation infrastructure
- Take an idea from concept through design, review, implementation, test, and release to customers
- Work on mission critical features for top tier cloud customers
- Debug difficult issues, drive to root causes with HW/SW teams, and follow up with Jira tickets to get bugs resolved
What We're Looking For
- Candidate MUST be currently pursuing a BS degree in CS/EE or related technical field(s)
- 1+ years of related course work
- Must be curious and driven to learn more about this complicated field
- Preferred Requirements:
- Excellent problem solving skills, with good verbal and written communication skills in English
- You can explain why as well as how you solved a problem
- Strong Programming skills in C and Python, with knowledge of git, linux, makefiles, gdb, IDEs, and bash a plus
- Strong understanding of the software development flow, from issue tracking (Jira), SCM (gitlab), design & code reviews (also gitlab), continuous integration (Jenkins), and regression testing