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Research Scientist; Hardware

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Talener
Full Time position
Listed on 2026-02-16
Job specializations:
  • Engineering
    Hardware Engineer, Computer Science, AI Engineer
Salary/Wage Range or Industry Benchmark: 175000 - 225000 USD Yearly USD 175000.00 225000.00 YEAR
Job Description & How to Apply Below
Position: Staff Research Scientist (Hardware)

Overview

Our client is a global technology innovator based in the Boston area, building advanced hardware and software platforms used across industrial, healthcare, automotive, communications, and intelligent edge applications. Their teams work on real world problems at the intersection of signal processing, compute, and AI, with a strong focus on practical impact and collaboration. They are seeking a Staff Research Scientist, specializing in Hardware to join their growing team in Boston.

Title

Staff Research Scientist, AI Hardware Co Design

Duration

Full-time employee (FTE)

Location

Boston, MA (Hybrid)

Compensation

$175k to $225k+ base DOE, 15 to 20 percent bonus, plus RSUs

Responsibilities

The role focuses on hardware design and collaboration across research and engineering to turn ideas into working prototypes within AI hardware ecosystems. Specific responsibilities are expected to align with the candidate’s experience and project needs.

Qualifications
  • PhD in Computer Architecture, Electrical Engineering, Computer Engineering, or a related field
  • Experience working on AI or compute heavy systems where hardware constraints matter
  • Strong understanding of computer architecture concepts such as memory, data movement, and performance tradeoffs
  • Hands on experience with machine learning models and an interest in how they map to real hardware
  • Comfort working across research and engineering teams to turn ideas into working prototypes
Nice to have
  • Experience with AI accelerators, SoCs, or heterogeneous compute platforms
  • Background in model optimization, quantization, or efficient inference
  • Exposure to DSP, sensors, or signal driven systems
  • Some familiarity with RTL or silicon development, even if not a day to day focus
How to apply

If interested in learning more about this opportunity, please apply or contact Adam Deutsch with Talener at

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