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Principle Firmware Engineer
Job in
Austin, Travis County, Texas, 78716, USA
Listed on 2026-02-16
Listing for:
Kforce Inc
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Responsibilities
Kforce has a client that is looking for a Principle Firmware Engineer for a hybrid role in Austin, TX. This role is ideal for a seasoned engineer who enjoys full lifecycle ownership, advanced embedded or distributed systems work, and contributing to innovation and intellectual property. Responsibilities:
- Own end-to-end development: design, analysis, implementation, testing, deployment, documentation, and maintenance
- Integrate with and contribute to programs developed by other teams
- Prepare and present content on emerging technologies as part of internal education efforts
- Participate in intellectual property activities, including filing disclosures and supporting patent development
Kforce has a client that is looking for a Principle Firmware Engineer for a hybrid role in Austin, TX. This role is ideal for a seasoned engineer who enjoys full lifecycle ownership, advanced embedded or distributed systems work, and contributing to innovation and intellectual property. Responsibilities:
- Own end-to-end development: design, analysis, implementation, testing, deployment, documentation, and maintenance
- Integrate with and contribute to programs developed by other teams
- Prepare and present content on emerging technologies as part of internal education efforts
- Participate in intellectual property activities, including filing disclosures and supporting patent development
- Bachelor's degree required;
Master's preferred - 10+ years of industry experience
- Strong embedded firmware background: C/C++ for MCUs (STM
32 or similar), peripheral drivers, RTOS - Comfortable across ultra-embedded RTOS environments and Linux-capable SoCs (device trees, kernel/user-space interaction)
- Hands-on experience with edge computer vision/ML (Jetson or similar), plus familiarity with ML frameworks and GPU/NPU acceleration
- Cryptography & secure-element expertise: ECC, RSA, symmetric crypto, PKI, certificate lifecycle, HSM/key management, secure-element programming
- Ability to independently prototype and deliver functional proofs-of-concept quickly
- Strong problem-solving, adaptability, self-sufficiency, and ability to learn new tech stacks
- Proven capability to work across multiple technical domains with deep expertise in at least two (e.g., secure embedded firmware + ML/vision, or cryptography + embedded DSP)
- Familiarity with backend/cloud workflows (Python preferred)
- Proficiency in MS Office and familiarity with Windows environments
- Embedded Engineering (MCU or Linux-based systems)
- Mobile Application Development
- Distributed Systems Development
- Prior R&D or research-to-prototype experience
- Patent contributions or participation in IP processes
- Experience with Zephyr or FreeRTOS
- Experience with Jetson, CUDA, GPU/NPU programming for edge ML
- DSP/algorithm development for camera/vision/signal-processing
- Experience with BLE sounding, NFC stacks, or biometric systems
- Familiarity with Tensor
RT, Tensor Flow/TFLite, PyTorch, or similar edge ML frameworks - Secure-element firmware experience and hardware-backed key storage
- Experience with Python, Go, or Type Script/JS for backend/prototyping tools
- Experience with supply-chain/vendor engagement and component selection
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note:
Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may…
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