Trusted AI for critical infrastructure to deliver secure, explainable agents across cloud, on-prem, and edge with rapid time to impact.
About the role
The Senior Hardware Engineer will join the Director of Mission Solutions’ multidisciplinary team of architects, ML engineers, and integration specialists. The role will focus on designing, prototyping, and fielding ruggedized hardware platforms that enable AI/ML‑driven signal processing, image exploitation, sensor fusion, and C2 decision‑support workloads. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Ability to obtain a U.S. security clearance at the Top Secret level
- 5 + years of experience developing hardware for defense, national‑security, or related mission‑critical systems, with a strong track record of end‑to‑end delivery
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Systems Engineering, or a related technical field
- Demonstrated expertise in signal‑processing hardware, sensor‑fusion architectures, and AI/ML inference acceleration (FPGA, ASIC, GPU, or dedicated AI processors)
- Hands‑on experience with hardware‑software integration, firmware development, and MLOps at the edge
- Ability to work in a fast‑paced, multidisciplinary environment and translate operational requirements into scalable hardware solutions
More about this role
Seekr is an AI‑focused firm delivering advanced, mission‑critical agentic edge solutions for defense and national‑security customers. Our AI platform powers intelligence‑surveillance‑reconnaissance (ISR) and command‑and‑control (C2) solutions that run on cloud, on‑premises, and edge environments, supporting both classified and unclassified operations.
Position Overview
The Senior Hardware Engineer will join the Director of Mission Solutions’ multidisciplinary team of architects, ML engineers, and integration specialists. The role will focus on designing, prototyping, and fielding ruggedized hardware platforms that enable AI/ML‑driven signal processing, image exploitation, sensor fusion, and C2 decision‑support workloads. The engineer will work closely with software/ML leads to ensure tight integration of hardware and algorithms, drive “build‑once, deploy‑many” productization, and translate customer operational challenges into reusable, resellable solutions.
Key Responsibilities
- Design and develop high‑performance, low‑latency hardware (FPGA/ASIC, GPU, edge compute units, custom boards) optimized for AI/ML inference on ISR and C2 sensor streams.
- Collaborate with ML engineers to...
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