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CPLD/FPGA Firmware Engineer, Annapurna Labs, ML Accelerator Systems Firmware
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$124,597 / year median in Texas
Job Description
CPLD/FPGA
Firmware Engineer to join our ML Acceleration Server Firmware team, which is responsible for developing firmware to enable power sequencing and developing control systems for ML Acceleration servers in the data center. The team focuses on deploying firmware to diverse environments, including pre-silicon emulation, hardware manufacturing, automated testing, and production systems used by customers. Technologies useful to this role include computer architecture, hardware description languages (HDLs), and embedded systems. Our team uses Verilog, C, C++, Lua, bash, Python and other similar languages. Although we use machine learning workloads to validate systems software, this team is focused on codeveloping reliable server software and hardware for customers to deploy their ML workloads at scale. Key job responsibilities- Develop CPLD and FPGA programs that implement power sequencing and manage various protocols, including PWM, I2C, and SPI
- Develop systems software and drivers
- Define test and automation flows to validate firmware
- Evaluate and optimize firmware performance
- Build error detection and recovery mitigation systems at AWS scale A day in the life You will have the opportunity to develop server firmware in a highly cross-functional environment, working side by side with software and hardware teams to optimize customer experience.
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of programming with at least one hardware description language (HDL) experience Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in embedded development in C/C++
- Experience in RTL development in Verilog, VHDL, or SystemC Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- 143,700.00
- 194,400.
Benefits
- Paid Time Off (PTO)
- 401(k) Plans
- Mental Health
- Health and Wellness Programs