Embedded Firmware Engineer - NIC/Switch

Job Description

Salary:

Cornelis Networks delivers the worlds highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation.Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the worlds most demanding computational challenges with our next-generation networking solutions.

We are a fast-growing, forward-thinking team ofarchitects, engineers, and business professionals with a proven track record of building successful products and companies.As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.

Cornelis Networks is hiring software engineers with deep experience writing optimized C code, preferably for fabrics or networks. Your role will be to facilitate the delivery of our future HPC fabric, by working together with the architecture team to develop an advanced collectives acceleration architecture. Ideal candidates will have written C/C++ code for high performance, optimal efficiency, and low memory footprint. The candidate will have deep experience writing and debugging C code in embedded processors. The successful candidate who demonstrates strong team building, collaboration, and leadership skills will have opportunities for growth into a leadership position.

Key Responsibilities

Develop optimized C code for embedded processors

Collaborate with architects and hardware engineers to co-design next-generation hardware given software requirements

Evaluate system architecture and make recommendations as required

Develop and implement standard processes for unit test, collaborate on CI/CD implementations

Review other team members design documents and pull requests

Layout and establish design documents with the engineering team

Review and provide strong feedback on firmware and software architecture specifications and design specifications

Work with the Software Engineering Manager to identify tasks and build out schedules

Preferred Qualifications

Experience in High Performance Computing (HPC)

Experience with algorithm modeling, benchmarking, and digital signal processing (DSP) implementations.

Direct experience developing firmware for Machine Learning (ML) accelerators or Graphics Processing Units (GPUs).

Proven ability to optimize software for significant power and performance improvements, specifically for accelerator cores.

Capability to develop essential systems software and kernel drivers that enable higher-level applications to effectively utilize accelerators.

Experience with Nvidia Communications Collective Library (NCCL) and ROCm Communication Collectives Library (RCCL)

Experience developing and estimating using an Agile framework such as Scrum

Strong familiarity with:

Hardware platform design & development.

Development and debugging of network protocols including Ethernet

Data structures, synchronization, mutual exclusions & concurrency.

Experience with the following:

8051, ARM and RISC-V processors in an embedded environment.

PCI, I2C, PMBus.

Minimum Qualifications

Bachelors, Masters degree in Engineering, Computer Science, or related discipline, or the equivalent in training and experience

Minimum experience: 5 years of embedded system and firmware development for complex System-on-Chips (SoCs).

Proven experience implementing firmware for ASIC accelerator cores (e.g., GPU, ML accelerators, performance optimization, kernel drivers).

Extensive experience in C, especially in an embedded environment

Extensive experience with using RTOSs or bare metal implementations in an embedded environment

Proven board bring-up experience.

A strong understanding of computer architecture and design tradeoffs.

Experience working with new or custom silicon designs.

Familiarity with software development tools and toolchains including gcc and/or clang, make, cmake, git, bug tracking software (e.g. Jira), GitHub

Familiarity with debugging tools used in an embedded environment (logic analyzer, JTAG debugger and innovative methods for logging information for analysis and debug purposes)

Location: This is a remote position for employees residing within the United States.

We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.

At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.

In addition to your base pay, youll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.

Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.We encourage applications from all qualified candidates and will accommodate applicants needs under the respective laws throughout all stages of the recruitment and selection process.

remote work

Hybrid remote