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Soc Design - Sta Hardware Compute Group jobs at Amazon in United States, Sunnyvale

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100 jobs found
09.11.2025
A

Amazon Principal Applied Scientist Hardware Silicon Systems Group United States, California, Sunnyvale

Limitless High-tech career opportunities - Expoint
Own the technical architecture and optimization strategy for ML models deployed across Amazon's device ecosystem, from existing to yet-to-be-shipped products. Develop novel model architectures optimized for our custom silicon, establishing...
Description:
Description

Key job responsibilities
As a Principal Applied Scientist, you will:
• Own the technical architecture and optimization strategy for ML models deployed across Amazon's device ecosystem, from existing to yet-to-be-shipped products.
• Develop novel model architectures optimized for our custom silicon, establishing new methodologies for model compression and quantization.
• Create an evaluation framework for model efficiency and implement multimodal optimization techniques that work across vision, language, and audio tasks.
• Define technical standards for model deployment and drive research initiatives in model efficiency to guide future silicon designs.
• Spend the majority of your time doing deep technical work - developing novel ML architectures, writing critical optimization code, and creating proof-of-concept implementations that demonstrate breakthrough efficiency gains.
• Influence architecture decisions impacting future silicon generations, establish standards for model optimization, and mentor others in advanced ML techniques.

Basic Qualifications

This role requires a blend of expertise at the intersection of ML and hardware optimization. You must be an expert in model training, with deep knowledge of cutting-edge architectures for vision, language, and multimodal tasks. Crucially, you need to be a specialist in hardware-aware quantization, with hands-on experience in model compression techniques like pruning and distillation. A strong background in computer architecture and familiarity with ML accelerator designs is essential, as is expertise in efficient inference algorithms and low-precision arithmetic.
Basic Qualifications:
• Advanced degree (PhD preferred) in Computer Science, Electrical Engineering, or a related technical field
• 8+ years of experience in machine learning, with a focus on model architecture design, optimization, and deployment
• Expertise in developing and deploying deep learning models for real-world applications, including vision, language, and multimodal tasks
• Strong background in computer architecture, hardware acceleration, and efficient inference algorithms
• Hands-on experience with model compression techniques such as pruning, quantization, and distillation
• Proficiency with deep learning frameworks like TensorFlow, PyTorch, or ONNX


Preferred Qualifications

• PhD in Computer Science, Electrical Engineering, or a related technical field
• 10+ years of experience in machine learning, with a track record of developing novel model architectures and optimization techniques
• Proven expertise in co-designing ML models and hardware accelerators for efficient on-device inference
• In-depth understanding of the latest advancements in model compression, including techniques like knowledge distillation, network pruning, and hardware-aware quantization
• Experience working on resource-constrained embedded systems and deploying ML models on edge devices
• Demonstrated ability to influence technical strategy and mentor cross-functional teams
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical stakeholders

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09.11.2025
A

Amazon Embedded Software Development Engineer OPD Hardware United States, California, Sunnyvale

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Work hard. Have fun. Make history.We are looking for an Embedded Software Development Engineer to help design, develop, and integrate our next generation devices. In this role you will work...
Description:
Description

Work hard. Have fun. Make history.We are looking for an Embedded Software Development Engineer to help design, develop, and integrate our next generation devices. In this role you will work with customers, system architects, program managers and hardware engineers to implement, troubleshoot, fix kernel drivers, BSP for our next generation devices.
You will be responsible for the development of real-time embedded firmware and embedded Linux software that implements security controls for the platform.
Key job responsibilities
- Design, build, and maintain efficient, reusable C code for multimedia BSP
- Debug and troubleshoot kernel drivers and multimedia framework integration
- Develop and customize multimedia Board Support Package (BSP) and graphics
- Implement low-level embedded software for multimedia device platforms
- Develop and test software layers within Linux Kernel multimedia frameworks
- Optimize multimedia performance and resolve system integration challenges
- Maintain code quality and technical documentation for multimedia components
- Provide technical guidance on embedded multimedia software development
- Participate in multimedia-focused code and design reviews

Basic Qualifications

- 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
- Embedded C/Linux development 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
- Linux driver and kernel development
- Experience with assembly language development

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08.11.2025
A

Amazon Software Design Engineer Amazon Device OS United States, California, Sunnyvale

08.11.2025
A

Amazon Sr ASIC Modem Design Engineer Project Kuiper United States, California, Sunnyvale

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Implement wireless system architecture in silicon from system specification to chip specification to RTL to optimizing timing / power to chip level validation. Develop solutions optimizing customer experience (throughput, latency,...
Description:
Description

The Role:
In this role you will:
· Implement wireless system architecture in silicon from system specification to chip specification to RTL to optimizing timing / power to chip level validation.
· Develop solutions optimizing customer experience (throughput, latency, and availability) while meeting power and cost constraints.
· Drive high quality designs for first-time right silicon solutions, and meeting the power objectives
· Create standalone verification test bench to verify the correctness of your block.
· Work with the verification team and participate in System level verification using test benches constructed using System Verilog, UVM, System C and/or DPI-C.
· Ensure that the block meets DFT, timing and power targets by working closely with the implementation team.
· Learn about requirements and solutions for systems operating in space
· Drive trade-off analysis to benefit customer experience and optimization of resources (costs, power, spectrum).Export Control Requirement:
Key job responsibilities
- Engage with architects and system engineers to drive hardware micro-architecture.
- Able to interpret reference models in MATLAB.
- Involve in control plane logic design and interfaces to bus fabrics.
- Explore and propose innovative ideas and work towards optimization of the modem.

Basic Qualifications

. Bachelor's degree in Electrical / Communications Engineering or related field, or equivalent experience.
.7+ years of experience in digital logic design, preferably in DSP or communication systems.
· Experience in designing and implementing Digital Signal Processing (DSP) algorithms and systems in RTL.
· Ability to convert DSP algorithms into RTL code and optimize for performance, power, and area.


Preferred Qualifications

. Master's or Ph.D degree in Electrical / Communications Engineering.
· 10+ years of experience in micro-architecture development and RTL design, preferably in communication systems
· Familiarity with UVM and Matlab.
· Ability to write assertions and exposure to Formal verification

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07.11.2025
A

Amazon Sr Hardware Safety Compliance Engineer & United States, California, Sunnyvale

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The Role:Key job responsibilities Determine the applicable regulations, standards, and safety requirements for new and existing products. Communicate technical safety and compliance requirements to design teams, operations, and contract manufacturers....
Description:
Description

The Role:Key job responsibilities
- Determine the applicable regulations, standards, and safety requirements for new and existing products.
- Communicate technical safety and compliance requirements to design teams, operations, and contract manufacturers.
- Participate in electrical and mechanical system design reviews to ensure that safety mitigations are properly implemented.- Direct compliance testing and certification at external labs.
- Review compliance evaluations for accuracy.
- Contribute to international expansion and certification strategies.
- Oversee all aspects of hardware compliance for a device when required.
- Stay abreast of industry activities by participating in standards development committees or other industry organizations relevant to Lab126.
A day in the life
A typical day in this role involves working with cross-functional and outside partners on regulatory compliance initiatives, connecting with our product development team to drive key aspects of product definition, compliance requirement, testing execution and deep diving safety and other compliance issues. You must be responsive, flexible and able to succeed within an openly collaborative peer environment.

Basic Qualifications

- 5+ years of hardware design and validation of components, subsystems and systems experience
- Knowledge of mechanical or electrical systems design
- Experience handling product compliance, submitting products for global approvals, and obtaining certifications
- Experience with the application of U.S. and international product safety standards (e.g. UL 62368, IEC 60601) and other EN, ANSI, CSA, ISO standards.
- Experience evaluating the compliance of power supplies, direct-plug-ins, wearables, lasers, lighting powers, or toys.
- Knowledge and experience conducting safety compliance tests for US and international standards.
- Bachelor's degree in engineering, electrical engineering, systems engineering, or related technical field.


Preferred Qualifications

- Master’s or PhD degree in a relevant field.
- Experience performing the safety compliance assessment of devices in various categories (e.g. construction review, test plan creation, test execution, certification)
- Experience handling consumer electronics compliance
- Experience with IEC standards such as 61010 (Laboratory Equipment); 60601 (Medical equipment safety); 60335 (Household Appliances); 62471 (Lamps / LEDs); 60825 (Lasers) & Toy safety standards
- Experience conducting product risk assessments or failure modes and effects analysis (FMEA)
- Experience responding to regulator audits
- Strong interpersonal, verbal, and written communication skills, including the ability to communicate effectively with all levels of an organization.
- Experience working with third-party labs & Asia-based contract mfrs. and test labs
- Experience communicating technical topics to interdisciplinary audiences
- Experience reviewing a design's construction for compliance.

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13.10.2025
A

Amazon SOC Design - STA Hardware Compute Group United States, California, Sunnyvale

Limitless High-tech career opportunities - Expoint
Why AWSDiverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the , we encourage candidates to apply. If your...
Description:
Description

Why AWS
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Key job responsibilities
- Ensure adherence to timelines.
- Deliver sustainable and repeatable solutions and processes always with an eye on improvement.- Knowledge of network cabling and optic types.
- Experience with cabling infrastructure best practices and methodologies.
- Familiarity with common networking terms.
- Excellent judgement and analytical skills, ability to prioritize tasks based on fluctuating needs. - Strong prioritization and time management ability.
- Coordination of design, project timeline/schedule and construction milestones.
- Experience in core project management disciplines including scope, schedule, budget, quality, along with risk and critical path management. Must be well organized and able to work effectively under time pressure.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Basic Qualifications

- 3+ years of vendor management experience
- 4+ years of relevant work in a data center or other critical environment experience
- 5+ years of data center engineering or operations experience
- 5+ years of Microsoft Office including Outlook, Word, and Excel experience
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field
- Experience in vendor management
- Experience in a data center or other critical environment
- Experience in data center engineering or operations
- Experience with Microsoft Office including Outlook, Word, and Excel


Preferred Qualifications

- 3+ years of construction or project management experience
- Electrical or mechanical Journeyman License
- operating engineering license such as DC II, DC III, or equivalent
- Experience in construction or project management

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These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
Own the technical architecture and optimization strategy for ML models deployed across Amazon's device ecosystem, from existing to yet-to-be-shipped products. Develop novel model architectures optimized for our custom silicon, establishing...
Description:
Description

Key job responsibilities
As a Principal Applied Scientist, you will:
• Own the technical architecture and optimization strategy for ML models deployed across Amazon's device ecosystem, from existing to yet-to-be-shipped products.
• Develop novel model architectures optimized for our custom silicon, establishing new methodologies for model compression and quantization.
• Create an evaluation framework for model efficiency and implement multimodal optimization techniques that work across vision, language, and audio tasks.
• Define technical standards for model deployment and drive research initiatives in model efficiency to guide future silicon designs.
• Spend the majority of your time doing deep technical work - developing novel ML architectures, writing critical optimization code, and creating proof-of-concept implementations that demonstrate breakthrough efficiency gains.
• Influence architecture decisions impacting future silicon generations, establish standards for model optimization, and mentor others in advanced ML techniques.

Basic Qualifications

This role requires a blend of expertise at the intersection of ML and hardware optimization. You must be an expert in model training, with deep knowledge of cutting-edge architectures for vision, language, and multimodal tasks. Crucially, you need to be a specialist in hardware-aware quantization, with hands-on experience in model compression techniques like pruning and distillation. A strong background in computer architecture and familiarity with ML accelerator designs is essential, as is expertise in efficient inference algorithms and low-precision arithmetic.
Basic Qualifications:
• Advanced degree (PhD preferred) in Computer Science, Electrical Engineering, or a related technical field
• 8+ years of experience in machine learning, with a focus on model architecture design, optimization, and deployment
• Expertise in developing and deploying deep learning models for real-world applications, including vision, language, and multimodal tasks
• Strong background in computer architecture, hardware acceleration, and efficient inference algorithms
• Hands-on experience with model compression techniques such as pruning, quantization, and distillation
• Proficiency with deep learning frameworks like TensorFlow, PyTorch, or ONNX


Preferred Qualifications

• PhD in Computer Science, Electrical Engineering, or a related technical field
• 10+ years of experience in machine learning, with a track record of developing novel model architectures and optimization techniques
• Proven expertise in co-designing ML models and hardware accelerators for efficient on-device inference
• In-depth understanding of the latest advancements in model compression, including techniques like knowledge distillation, network pruning, and hardware-aware quantization
• Experience working on resource-constrained embedded systems and deploying ML models on edge devices
• Demonstrated ability to influence technical strategy and mentor cross-functional teams
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical stakeholders

Show more
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