Software Researcher - AI & Machine Learning (Embedded Systems)

Job Title: Software Researcher – AI & Machine Learning (Embedded Systems)

Location: Warren, MI

Work Arrangement: Fully Onsite

Employment Type: Contract

Duration: 2 weeks (Based on June 21, 2026 – July 3, 2026 timeline)

Pay Range: $40/hr. to $41.85/hr. on W2 | $48.57/hr. to $54.40/hr. on C2C

Domain: Automotive | AI/ML & Embedded Systems

Application Deadline: June 15, 2026

SKILLS REQUIRED:

Primary (Must-Have):

✔️Expertise with Android Automotive OS, Android Open Source Project (AOSP), and Google Automotive Services SDK

✔️Strong development proficiency in Kotlin, Java, and core C++

✔️Deep technical expertise in Machine Learning (ML) architectures and Large Language Models (LLMs)

✔️Solid background in Embedded Systems Architecture, Design, and resource-constrained optimization

✔️Master’s Degree (MS) or Ph.D. in Computer Science, Computer Engineering, Software Engineering, or a highly related technical field

Secondary (Good to Have):

✔️7+ years of professional software research or advanced engineering experience

✔️Experience evaluating hardware-accelerated ML workloads on microcontrollers or automotive ECUs

✔️Strong analytical communication skills to present research insights and user feedback for software refinements

POSITION OVERVIEW

We are seeking an Elite Software Researcher specialized in AI & Machine Learning to join an advanced engineering engagement fully onsite in Warren, MI. This research-driven role focuses heavily on investigating cutting-edge methodologies for efficiently deploying and running AI/ML architectures on embedded automotive computing platforms. The successful candidate will navigate the stringent constraints of resource-limited systems, optimizing runtime performance, power efficiency, and model execution speeds to influence future automotive technology roadmaps.

ROLES & RESPONSIBILITIES

✔️Investigate, prototype, and refine innovative methods for deploying complex Machine Learning and Large Language Models (LLMs) onto constrained embedded computing platforms.

✔️Optimize the execution performance of algorithms within the strict memory, thermal, and processing boundaries of automotive-grade hardware architectures.

✔️Develop, modify, and test system-level code utilizing Android Automotive OS, AOSP frameworks, Kotlin, Java, and C++ environments.

✔️Analyze system integration touchpoints and compile technical research feedback to drive future software refinements and architectural enhancements.

✔️Partner with cross-functional engineering teams to evaluate the intersection of hardware capabilities and next-generation automotive AI applications.

BENEFITS

Medical | Dental | Vision | 401(k)

EEOC Compliance

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.