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Internship Automotive Embedded Jobs (NOW HIRING)

Amazon

Manipulation Robotics Embedded SDE

Reading, MA · On-site

$138K - $182K/yr

BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ... automotive, telecom or related fields. - Experience with real time motion control for high DOF ...

Amazon

Sr. Embedded Engineer, Amazon Robotics

Reading, MA · On-site

$130K - $171K/yr

BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ... devices, automotive systems, avionics, industrial, or telecommunications product. PREFERRED ...

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How much do internship automotive embedded jobs pay per year?

As of Aug 17, 2026, the average yearly pay for internship automotive embedded in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is an internship automotive embedded?

Internship Automotive Embedded positions are entry-level roles designed for students or recent graduates interested in working with embedded systems in the automotive industry. These internships typically involve assisting in the development, testing, and implementation of software or hardware that controls vehicle functions such as infotainment, engine management, safety systems, and connectivity features. Interns gain hands-on experience with microcontrollers, real-time operating systems, and automotive communication protocols like CAN or LIN. The goal is to provide practical exposure to automotive technology and help interns develop skills for a future career in embedded systems engineering.

What do automotive embedded interns do?

Interns in automotive embedded systems often work on tasks such as assisting with software development for electronic control units (ECUs), debugging code for in-vehicle infotainment systems, or supporting testing and validation of embedded software. They may also help with integrating sensors or communication protocols like CAN and LIN into automotive applications. These projects provide hands-on experience with real-world automotive electronics and offer opportunities to collaborate closely with engineers, testers, and sometimes even suppliers.

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

To thrive as an Automotive Embedded Intern, you need a solid background in electrical engineering, computer science, or a related field, with knowledge of embedded systems and C/C++ programming. Familiarity with tools like MATLAB/Simulink, CAN bus analyzers, microcontrollers, and real-time operating systems is often required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex technical problems. These skills ensure you can contribute to developing reliable and innovative automotive technologies in a highly regulated industry.
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Internship Automotive Embedded jobs near you
Infographic showing various Internship Automotive Embedded job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

Member of Technical Staff - Embedded ML Engineer (Audio/Omni)

Liquid AI, Inc

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

About Liquid AI
Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.
The Opportunity
Liquid AI's models ship inside real products, including vehicles from flagship automotive design partners with hard production release dates.
This role sits at the center of that work: you will run the day-to-day model development pipeline for our marquee automotive engagement, working directly with the engineer who leads our embedded customer R&D.
You will take ambiguous feature requests from partner product teams and turn them into trained, evaluated, production-ready model checkpoints. Over your first months, the end-to-end pipeline (requirements, data generation, training, evaluation) is progressively handed to you until you operate it autonomously.
What We're Looking For
We need someone who:
  • Runs with it: You take a loosely-defined task and drive it to done without waiting for step-by-step direction.
  • Client-ready communicator: You can explain something technical you built from first principles to someone with zero context, clearly and without jargon. You will do this daily, with partners and internally.
  • High energy, high urgency: You move fast, you like shipping against real deadlines, and crunch periods around releases don't faze you.
  • Low ego: You are happy doing the unglamorous work that makes fast-moving projects hold together: cleaning data, polishing deliverables, building dashboards, documenting.
  • Comfortable with shifting requirements: Partner specs change constantly. You treat that as the job, not an annoyance.

The Work
  • Join partner calls, work with partner product managers, and translate broad, ambiguous feature specs into concrete model training requirements.
  • Own the core fine-tuning recipe for an on-device audio-to-function-calling model: keep tool calling accurate and reliable across all supported languages.
  • Generate, clean, and analyze training data; build and maintain the large-scale data pipelines that feed training.
  • Run training and evaluation cycles against partner requirements on a continuous loop through major software releases.
  • Make fast-moving work presentable: dashboards, analyses, documentation, and polished partner-facing deliverables.
  • Progressively take ownership of the end-to-end model development pipeline, from spec intake through delivered checkpoint.

Desired Experience
Must-have:
  • Hands-on machine learning experience: roughly 2+ years, though we are open to exceptional early-career candidates with strong internship track records.
  • You have personally trained models end-to-end, in any modality (computer vision, ADAS, LLMs, audio). Building applications around model APIs does not qualify.
  • Experience working with large-scale data pipelines and wrangling large volumes of data.
  • Experience in an automotive, embedded-device, or on-device ML context, and the instinct to reason from first principles about those environments.
  • Strong communication skills; this is a client-facing role.

Nice-to-have:
  • Audio or speech model experience.
  • Function calling / tool-use fine-tuning experience.
  • Multilingual model or data experience.
  • Background at automotive, autonomous vehicle, or defense research labs.

What Success Looks Like (Year One)
  1. Within six months, you have made a non-trivial, quantifiable impact on a marquee automotive engagement, validated directly by partner feedback on service quality.
  2. You operate the core model development pipeline (requirements, data generation, training, evaluation) autonomously across a major software release.
  3. Function-calling quality holds across an expanding set of supported languages while new capabilities are layered onto the model.

What We Offer
  • End-to-end ownership: within months you run a production model pipeline for a global automotive partner, with direct mentorship from the engineer who built it.
  • Compensation: Competitive base salary with equity in a unicorn-stage company
  • Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
  • Financial: 401(k) matching up to 4% of base pay
  • Time Off: Unlimited PTO plus company-wide Refill Days throughout the year

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