ABOUT THE TEAM OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. ABOUT THE ROLE We are looking for an embedded engineer to help build firmware and associated modeling software for OpenAI’s in house AI accelerator. This role involves designing and developing drivers and functional models for a large array of HW components, writing high throughput and low latency firmware code, investigating bring-up and production issues. RESPONSIBILITIES - Design and implement drivers for hardware peripherals, including those related to AI chips. - Design and implement functional software models to simulate SoC uncore logic and enable FW testing against the model - Design and implement low-latency and high throughput embedded SW to manage HW resources. - Work with adjacent software and hardware teams to implement requirements, debug issues and shape future generations of the hardware. - Collaborate with vendors to integrate their technologies within our systems. - Bring up and debug firmware/driver on new platforms. - Come up with processes and debug issues raised in the field. - Set up monitoring, integration testing and diagnostics tools. QUALIFICATIONS - 5+ years of experience working in embedded SW space. - Ability to thrive in ambiguity and learn new technologies. - Strong programming skills in C/C++ and/or Rust. - Experience developing high throughput, low latency and multi-threaded code. - Experience working with real time operating systems (RTOS). - Experience developing hardware drivers and working with hardware - Experience with HW/SW co-design - Knowledge of common embedded protocols, e.g. UART, I2C, SPI, etc. - Knowledge of microprocessor and common ARM architectures (e.g. AMBA) is a plus. - Knowledge of PCIe, ethernet and other high BW communication protocols is a plus. - Experience with GPUs or other compute hardware is a plus. - Experience deploying large compute clusters is a plus. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.  We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. 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