Senior Research And Development Engineer / Integration

Expert Executive Recruiters (EER Global)

United States

On-site

USD 90,000 - 120,000

Full time

14 days+
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Job summary

A leading defense technology company is seeking a Senior Product Engineer in the U.S. to spearhead integration projects for vision-based AI systems. This pivotal role involves extensive travel, hands-on technical demonstrations, and acting as a liaison between clients and the R&D team. Candidates must have a B.Sc. in Engineering, over 5 years of experience, and expertise in Python and Linux. Experience in the Defense Industry and eligibility for U.S. Security Clearance are essential.

Qualifications

  • Must have a minimum of 5+ years of experience with System or Integration Engineer duties.
  • Experience within the Defense Industry or with foreign defense technology companies is required.
  • Eligibility for US Security Clearance is a must.

Responsibilities

  • Spearhead the end‑to‑end integration, installation, and deployment of vision‑based AI systems.
  • Conduct hands‑on technical demonstrations for end-users including soldiers and procurement teams.
  • Act as the primary technical liaison between US clients/partners and the headquarters R&D team.

Skills

Expertise in Python
Linux
Customer engagement
Technical demonstrations
System integration

Education

B.Sc. in Electrical, Software, or Mechanical Engineering

Tools

NVIDIA Jetson platforms
DeepStream
TensorRT
GStreamer
FFmpeg

Job description

We are helping our client, a leading and publicly traded defense technology company, specializing in AI-based vision solutions for military platforms. As part of a critical global expansion strategy, the company has established a US entity to support surging demand for its autonomous and AI-based applications in the defense market.

We are looking for a professional who will be the inaugural US-based Senior Product Engineer, serving as a pivotal technical anchor.

You will drive the success of integration projects, from pre‑sales demonstration through post‑sales deployment, requiring deep hands‑on technical engagement with hardware and software systems.

Responsibilities
  • Spearhead the end‑to‑end integration, installation, and deployment of vision‑based AI systems onto customer platforms (e.g., armored vehicles, drones) at US government and partner facilities.
  • Conduct hands‑on technical demonstrations for end‑users, including soldiers and procurement teams, ensuring successful operational performance of the systems.
  • Act as the primary technical liaison between US clients/partners and the headquarters R&D team in Israel, translating specific platform and Department of War (DOW) compliance requirements.
  • Manage a subset of necessary software modifications and code development (primarily in Python) to tailor the system output and interfaces to best suit the client’s platform requirements.
  • Coordinate and manage local technical activities, including the handling of specialized hardware during travel, and managing subcontractors for any necessary hardware modifications in the US.
  • Travel frequently (40‑50%) across the US to client bases and partner locations (e.g., Detroit, Florida, St. Louis areas) to execute integration tasks and support field experiments.
Requirements
Extensive Engineering Background & Leadership
  • MUST: B.Sc. in Electrical, Software, or Mechanical Engineering.
  • MUST: minimum 5+ years of experience with System or Integration Engineer duties.
Core Technical & Software Proficiency
  • MUST: Expertise in Python and Linux.
  • ADV: Strong knowledge of computer vision, machine learning, and deep learning.
  • ADV: Experience with video streaming protocols and tools (e.g., GStreamer, FFmpeg).
Defense Industry & Customer Acumen
  • MUST: Experience within the Defense Industry or with foreign defense technology companies.
  • MUST: Proven ability to work directly with customers and lead E2E technical demos/integrations.
  • MUST: Eligibility for US Security Clearance.
Specialized NVIDIA & Integration Expertise
  • ADV: Practical experience with NVIDIA Jetson platforms and associated software like DeepStream and TensorRT.
  • ADV: Experience with hardware integration tools like ROS, serial communications, and camera calibration (prior hardware integration experience is a key advantage).
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