Product Application Engineer
Astera Labs
Posted 15 Nov 2026, 01:42 ET · Verified open on LinkedIn 15 Nov, 02:54 ET
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- TroubleshootingSalesProduct management
- Work
- On-site in San Jose
- Pay
- Not stated by the employer.
- Skill demand
- Sales53%Troubleshooting45%Product management17%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 15, 2026 · still open
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About the Role
This is an on-site internship role for a Product Application Engineer based in San Jose, CA.
Key Responsibilities
- Support customer-facing technical engagements by helping to evaluate product requirements.
- Assist in system-level integration.
- Provide hands-on debugging and troubleshooting of connectivity solutions.
- Work with senior engineers to reproduce and analyze customer issues.
- Prepare technical documentation and application notes.
- Contribute to reference designs, demos, and lab setups.
- Collaborate with cross-functional teams such as sales, R&D, and product management to communicate customer feedback.
- Validate new features.
- Help ensure successful deployment of Astera Labs products in AI infrastructure environments.
Qualifications
- Strong foundation in Electrical Engineering and related disciplines, with coursework or project experience in high-speed interfaces, systems design, or semiconductor technologies.
- Ability to provide Technical Support for hardware and software products, including responding to customer inquiries and assisting with implementations.
- Hands-on Troubleshooting skills for lab setups and customer systems, including use of test equipment, debugging tools, and systematic problem-solving methods.
- Interest in collaborating with Sales teams to translate technical capabilities into customer value and support technical aspects of customer evaluations.
- Exposure to Research and Development (R&D) activities such as prototyping, validating new features, and contributing to technical experiments or performance analysis.
- Pursuing a bachelor’s or master’s degree in Electrical Engineering, Computer Engineering, or a related technical field.
- Solid written and verbal communication skills, with the ability to document findings clearly and present technical information to diverse audiences.
- Comfort working in a fast-paced, collaborative environment and eagerness to learn about AI infrastructure and advanced connectivity technologies.