Live opening · Posted 1 day ago

Principal Embedded Firmware Engineer — AI/HPC Networking Silicon

Jobgether · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyJobgether
LocationUnited States (Remote)
SalaryVision, Medical, Dental, 401(k), +1 benefit
Work modeYes
SkillsPython, C++
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Embedded Firmware Engineer — AI/HPC Networking Silicon based in the United States.
As a Principal Embedded Firmware Engineer, you will shape the firmware architecture powering next-generation networking silicon for AI and high-performance computing (HPC) infrastructure. You will lead the development of bare-metal firmware responsible for securely booting, provisioning, and supervising on-chip acceleration engines across complex, multi-die systems. Your work will establish the reliable infrastructure required to support demanding compute workloads at scale. Collaborating closely with ASIC, RTL, and software engineering teams, you will define hardware/software interfaces, strengthen security, and improve system bring-up and validation. You will combine hands-on engineering with technical leadership, architectural decision-making, code reviews, and mentorship. This fully remote opportunity is suited to an experienced firmware architect who enjoys tackling low-level silicon challenges and using AI-assisted engineering tools to accelerate development while maintaining rigorous quality standards.
Accountabilities
You will own key elements of the embedded firmware architecture, ensuring that management firmware securely provisions, initializes, monitors, and updates on-chip acceleration engines. You will also establish engineering standards and guide technical execution across the platform.
Firmware Architecture and Development: Architect, design, and implement bare-metal C firmware running on a RISC-V management core to provision, boot, and supervise arrays of on-chip acceleration engines.
Secure Firmware Loading: Develop and maintain the secure firmware-loading pipeline, including fetching images from flash, coordinating authentication through hardware root-of-trust mechanisms, and distributing verified images into individual engines' local memories using on-chip fan-out and DMA hardware.
Engine Initialization and Health Monitoring: Implement per-engine bring-up, reset sequencing, and health validation through control and status registers, with robust timeout handling, error recovery, and enforced security invariants.
Multi-Engine and Multi-Die Support: Scale firmware distribution and initialization across numerous engines and multiple dies, supporting runtime rebooting and in-field firmware updates.
Hardware/Software Interface Definition: Define and maintain hardware/software contracts with ASIC and RTL teams using a datamodel-first workflow and tools such as SystemRDL, Kaitai, and YAML-based code generation.
Firmware Validation and Testing: Validate firmware using functional simulators such as QEMU, supported by automated unit and integration tests.
AI-Assisted Engineering: Integrate AI tools into firmware design, implementation, debugging, and testing workflows while ensuring generated code and recommendations are rigorously reviewed and validated.
Technical Leadership: Establish architecture and coding standards, lead design and code reviews, make key technical decisions, and mentor engineers across the team.
Cross-Functional Collaboration: Work closely with silicon, hardware, and software engineering teams to resolve integration challenges and deliver secure, reliable, production-ready firmware.
Requirements
You are a seasoned embedded firmware engineer with deep expertise in low-level software, silicon bring-up, and secure firmware architecture. You bring strong technical judgment, a track record of leading complex engineering initiatives, and the ability to use AI-assisted development tools effectively without compromising reliability or security.
Professional Experience: 10 or more years of embedded systems or firmware engineering experience, including software architecture ownership and technical leadership.
C Programming: Expert-level proficiency in C; C++ experience is an advantage.
Python: Working knowledge of Python for scripting, automation, testing, and development support.
Bare-Metal Firmware: Extensive hands-on experience developing bare-metal firmware for constrained processing cores, including low-level hardware initialization and manual management of local memories.
Secure Boot and Authentication: Experience implementing secure boot or firmware image authentication and integrating hardware root-of-trust mechanisms.
Register-Level Hardware Interfaces: Proven experience programming control and status registers (CSRs) and collaborating with silicon engineering teams to design register-level interfaces.
AI-Assisted Development: Demonstrated practical proficiency with AI-assisted engineering tools, together with the technical judgment to verify generated code, identify errors, and validate results.
RISC-V Expertise: Experience with RISC-V firmware development and toolchains is preferred.
Accelerator Firmware: Familiarity with firmware orchestration across multicore or multi-engine accelerator arrays is an advantage.
Hardware Security Technologies: Knowledge of hardware root-of-trust ecosystems such as Caliptra, along with SHA-2 hashing and digital signature verification, is desirable.
Code Generation and Co-Verification: Familiarity with tools and workflows such as SystemRDL, Kaitai, CMake, and simulator-based hardware/software co-verification is preferred.
AI/HPC Networking: Knowledge of emerging interconnect standards such as Ultra Ethernet Consortium (UEC), UALink, and ESUN is an advantage.
Networking and HPC Background: Experience with high-performance computing, AI networking, RDMA, or libfabric is beneficial.
Technical Leadership and Communication: Ability to make sound architectural decisions, review complex designs, mentor engineers, and collaborate effectively across hardware and software disciplines.
Remote Work: Ability to work remotely while residing within the United States.
Benefits
Competitive compensation: A comprehensive total rewards package combining base salary, equity, and performance-based incentives.
Individualized base pay: Salary determined by skills, qualifications, experience, and geographic location relative to the hiring range.
Performance incentives: Eligibility for an annual bonus or other incentives, depending on the role.
Medical coverage: Medical, dental, and vision insurance.
Insurance protection: Disability and life insurance, plus accidental injury insurance.
Additional coverage: Dependent care flexible spending account and pet insurance.
Retirement savings: 401(k) plan with employer matching contributions.
Paid time off: Generous paid holidays and Open Time Off (OTO) for regular full-time exempt employees.
Additional leave: Sick time, bonding leave, and pregnancy disability leave.
Flexible work environment: Fully remote work for employees residing in the United States.
Industry collaboration: Opportunities to work with influential organizations and experts across the semiconductor industry.
Innovative engineering environment: The opportunity to contribute to advanced AI and HPC networking technologies within a collaborative, technically ambitious team.
Equal opportunity: A commitment to fair employment practices, reasonable accommodations throughout the recruitment process, and consideration of all qualified applicants.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Work arrangement
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