Amazon Web Services (AWS)
Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and
Amazon Web Services (AWS), Austin, Texas, us, 78716
Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and Performance
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Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and Performance
role at
Amazon Web Services (AWS)
Overview AWS Utility Computing (UC) provides product Annapurna Labs, an AWS-owned organization that designs silicon and software accelerating innovation. Our custom chips, accelerators, and software stacks tackle technical challenges never seen before, enabling customers to solve problems that were unimaginable a short time ago. Join us to develop firmware that brings these innovations to life.
Key Job Responsibilities
Design and implement firmware algorithms for power management, thermal control, and performance optimization on ML acceleration hardware
Develop real‑time control policies and state machines that dynamically balance power, thermal, and performance constraints
Create optimization algorithms for resource allocation, frequency/voltage scaling, and workload scheduling
Implement efficient data structures and algorithms suitable for embedded, resource‑constrained environments
Design and implement on‑device tracing and telemetry collection systems to support algorithm development and validation
Build developer tools and data pipelines for metric collection, analysis, and visualization of algorithm behavior
Implement low‑overhead instrumentation that minimizes impact on workload performance
Collaborate with hardware architects to understand hardware capabilities and identify optimal instrumentation points
Develop automated testing and validation workflows; integrate with optional cloud‑based analytics pipelines
Own firmware code quality through rigorous testing, debugging, and validation on hardware
A Day in the Life You will work closely with power architects and hardware teams to understand silicon capabilities, implement low‑level control mechanisms, and create the algorithms and tooling that deliver optimal system behavior.
About The Team Our team supports new members, values knowledge sharing, and provides mentorship. Senior members conduct code reviews and help junior engineers grow. We encourage career development and assign projects that help you gain deeper expertise.
Diverse Experiences AWS values diverse experiences. Even if you do not meet all qualifications, we encourage you to apply. If your career is just starting or follows an alternative path, do not let that stop you.
About AWS Amazon Web Services is the world’s most comprehensive and broadly adopted cloud platform, trusted by startups to Global 500 companies.
Inclusive Team Culture Our affinity groups foster a culture of inclusion and diversity. We host events such as CORE and AmazeCon, celebrating our uniqueness.
Work/Life Balance We value flexibility and work‑life harmony, supporting both home and work goals.
Mentorship & Career Growth We raise the bar through knowledge sharing, mentorship, and career‑advancing resources.
Basic Qualifications
5+ years of non‑internship professional software development experience
Experience as a mentor, tech lead, or leading an engineering team
Bachelor’s degree in computer science, electrical engineering, or related field
Strong firmware or embedded systems development experience
Proficiency in C/C++ for systems programming with strong foundation in algorithms and data structures
Experience implementing efficient algorithms in resource‑constrained, real‑time environments
Experience with hardware interfaces, instrumentation, or performance monitoring
Strong debugging skills with hardware‑software systems
Experience building developer tools or instrumentation frameworks
Preferred Qualifications
Experience developing control algorithms, optimization algorithms, or state machines in firmware
Experience with power management algorithms, thermal control policies, or dynamic performance optimization
Background in tracing frameworks, telemetry systems, or performance analysis
Understanding of algorithmic complexity and optimization techniques for embedded systems
Familiarity with hardware performance counters, on‑chip monitoring, or hardware debug interfaces
Experience with data collection pipelines and scripting (Python, shell) for algorithm validation
Understanding of ML training/inference workloads and their performance characteristics
Takes strong ownership, works effectively in ambiguous situations, demonstrates a bias for action while consistently delivering impactful results
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Annapurna Labs (U.S.) Inc.
Job ID: A3120217
#J-18808-Ljbffr
Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and Performance
role at
Amazon Web Services (AWS)
Overview AWS Utility Computing (UC) provides product Annapurna Labs, an AWS-owned organization that designs silicon and software accelerating innovation. Our custom chips, accelerators, and software stacks tackle technical challenges never seen before, enabling customers to solve problems that were unimaginable a short time ago. Join us to develop firmware that brings these innovations to life.
Key Job Responsibilities
Design and implement firmware algorithms for power management, thermal control, and performance optimization on ML acceleration hardware
Develop real‑time control policies and state machines that dynamically balance power, thermal, and performance constraints
Create optimization algorithms for resource allocation, frequency/voltage scaling, and workload scheduling
Implement efficient data structures and algorithms suitable for embedded, resource‑constrained environments
Design and implement on‑device tracing and telemetry collection systems to support algorithm development and validation
Build developer tools and data pipelines for metric collection, analysis, and visualization of algorithm behavior
Implement low‑overhead instrumentation that minimizes impact on workload performance
Collaborate with hardware architects to understand hardware capabilities and identify optimal instrumentation points
Develop automated testing and validation workflows; integrate with optional cloud‑based analytics pipelines
Own firmware code quality through rigorous testing, debugging, and validation on hardware
A Day in the Life You will work closely with power architects and hardware teams to understand silicon capabilities, implement low‑level control mechanisms, and create the algorithms and tooling that deliver optimal system behavior.
About The Team Our team supports new members, values knowledge sharing, and provides mentorship. Senior members conduct code reviews and help junior engineers grow. We encourage career development and assign projects that help you gain deeper expertise.
Diverse Experiences AWS values diverse experiences. Even if you do not meet all qualifications, we encourage you to apply. If your career is just starting or follows an alternative path, do not let that stop you.
About AWS Amazon Web Services is the world’s most comprehensive and broadly adopted cloud platform, trusted by startups to Global 500 companies.
Inclusive Team Culture Our affinity groups foster a culture of inclusion and diversity. We host events such as CORE and AmazeCon, celebrating our uniqueness.
Work/Life Balance We value flexibility and work‑life harmony, supporting both home and work goals.
Mentorship & Career Growth We raise the bar through knowledge sharing, mentorship, and career‑advancing resources.
Basic Qualifications
5+ years of non‑internship professional software development experience
Experience as a mentor, tech lead, or leading an engineering team
Bachelor’s degree in computer science, electrical engineering, or related field
Strong firmware or embedded systems development experience
Proficiency in C/C++ for systems programming with strong foundation in algorithms and data structures
Experience implementing efficient algorithms in resource‑constrained, real‑time environments
Experience with hardware interfaces, instrumentation, or performance monitoring
Strong debugging skills with hardware‑software systems
Experience building developer tools or instrumentation frameworks
Preferred Qualifications
Experience developing control algorithms, optimization algorithms, or state machines in firmware
Experience with power management algorithms, thermal control policies, or dynamic performance optimization
Background in tracing frameworks, telemetry systems, or performance analysis
Understanding of algorithmic complexity and optimization techniques for embedded systems
Familiarity with hardware performance counters, on‑chip monitoring, or hardware debug interfaces
Experience with data collection pipelines and scripting (Python, shell) for algorithm validation
Understanding of ML training/inference workloads and their performance characteristics
Takes strong ownership, works effectively in ambiguous situations, demonstrates a bias for action while consistently delivering impactful results
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Annapurna Labs (U.S.) Inc.
Job ID: A3120217
#J-18808-Ljbffr