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Advanced Robotics Electrical Engineer, Frontier AI & Robotics
We are seeking a hands-on Electrical Engineer to lead the design and integration of electrical systems or subsystems for high-degree-of-freedom robotic platforms. This role involves architecting the robot’s power distribution, sensor wiring, and embedded electrical infrastructure.
You will be responsible for designing across the full electrical system for advanced robotics platforms including power distribution, sensing, compute, motor controllers, communication infrastructure, battery system and power electronics in close collaboration with mechanical, controls and software engineers. You’ll play a key role in ensuring high-performance, reliable operation of complex electromechanical systems under real-world conditions.
- Key job responsibilities
- Electrical system architect / owner for power electronics, actuation, PCBAs, battery, ware harness specs and high speed electrical/communications protocols
- Design, develop and integrate power distribution, embedded electronics, motor controllers and safety-critical circuits for complex robotic systems
- Own board layout of PCBAs including So Cs, microcontrollers, sensors, power devices, etc. using Cadence OrCAD/Allegro or equivalent tools. Oversee bring-up and validation
- Determine appropriate high speed electrical and communication protocols (e.g., CAN, EtherCAT, USB, etc) for reliable and efficient system operation
- Specify and design custom power electronics and power distribution boards to meet performance, thermal, and safety requirements
- Design and route all cabling and wire harnesses across the robotic platform, considering EMI, signal integrity, serviceability, and integration with mechanical structures
- Architect and integrate the robot’s battery system, including protection circuitry, battery management, charging systems, and thermal considerations
- Define and implement wiring and electrical interfaces for sensors (e.g., lidar, stereo cameras, IMUs, tactile) and compute modules
- Ownership over prototyping and bringing up electrical designs and creation of test & validation rigs
About the team
At Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through innovative foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.
Basic Qualifications
- Experience in developing functional specifications, design verification plans and functional test procedures
- Bachelor’s or Master’s in Electrical Engineering or a related field.
- 6-10+ years of experience designing and integrating electrical systems in robotics, distributed systems, or complex electromechanical platforms.
- Proficient in PCB design (schematic capture and layout) using Cadence OrCAD/Allegro or similar tools.
- Experience in embedded controls, high-speed differential signaling, microcontrollers, memory buses, digital design, and power electronics
- Experience with wire harness design, including connector selection, cable speccing, and EMI mitigation strategies.
- Hands-on experience testing, validating and debugging hardware (use of oscilloscopes, logic analyzers, etc.)
Preferred Qualifications
- Master's degree in electrical engineering, computer engineering, or equivalent
- Experience working with interdisciplinary teams to execute product design from concept to production
- Experience with the project management of technical projects
- Experience with high-DOF robotic systems.
- Familiarity with high-speed data protocols (e.g., CAN, EtherCAT, etc.).
- Exposure to embedded programming (e.g., C, Python, VHDL, etc.) and firmware bring-up
- Understanding of thermal design and safety design considerations in high-power robotic systems
- Experience working in environments with DFM/DFA constraints and production scaling.
- Familiarity with mechanical CAD (e.g., Solid Works) for collaborative integration work.
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. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco - 157,900.00 - 213,600.00 USD annually
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Amazon 소개

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
직원 수
Seattle
본사 위치
$1.5T
기업 가치
리뷰
10개 리뷰
3.4
10개 리뷰
워라밸
2.5
보상
4.2
문화
3.0
커리어
3.8
경영진
2.7
65%
지인 추천률
장점
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
단점
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
연봉 정보
4개 데이터
L2
L6
L3
L4
L5
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 후기
후기 6개
난이도
4.0
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 17%
부정 83%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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