채용

Advanced Robotics Mechanical Engineer, Frontier AI & Robotics
San Francisco, CA, USA
·
On-site
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Full-time
·
2w ago
About the Role:
We are looking for a Mechanical Engineer with a passion for building complex robotic systems from the ground up. This role is ideal for someone with a deep understanding of structural and electromechanical design, who thrives in hands-on environments and has experience taking high-performance robots from concept to production.
You will work on the mechanical and system architecture of advanced robotics platforms, including high degree-of-freedom systems, where considerations such as actuator selection, thermal constraints, cabling, sensing integration, and manufacturability are critical. This is a cross-disciplinary role requiring close collaboration with electrical, software, and AI research teams.
Beyond day-to-day hardware development, this role also provides exciting avenues to contribute to innovative research projects. Whether you’re interested in mechatronics, sensor integration, or novel actuation methods, you’ll find opportunities to explore your research interests while building real-world systems that advance in the field of high degree-of-freedom robotics.
What You Bring:
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A systems-thinking mindset with a strong grasp of cross-domain engineering tradeoffs.
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A bias toward action: comfortable building, testing, and iterating rapidly.
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A collaborative and communicative working style — especially in multi-disciplinary research environments.
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A passion for robotics and advancing the state of the art in intelligent, capable machines.
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Key job responsibilities
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Lead mechanical design of robotic subsystems and full platforms, including structures, joints, enclosures, and mechanisms for a research environment.
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Own kinematic, dynamic, and structural analyses to guide the design and optimization of full systems and subsystems of high-DoF robots
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Specify and integrate actuators and motors for high-torque density applications in high-degree-of-freedom systems.
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Contribute to thermal management strategies for motors, sensors, and embedded compute hardware.
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Integrate sensors such as lidar, stereo cameras, IMUs, tactile sensors, and compute modules into compact, functional assemblies.
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Design and route cabling and wire harnesses, ensuring reliability, serviceability, and thermal/electrical integrity.
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Prototype and test mechanical systems; support hands-on builds, debug sessions, and field testing.
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Conduct root cause analysis on system-level failures or performance issues and implement design improvements.
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Apply Design for Manufacturing (DFM) and Design for Assembly (DFA) principles to transition prototypes into scalable builds (10s–100s of units).
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Collaborate with cross-functional teams in electrical engineering, controls, perception, and research to meet research and product goals.
About the team
Frontier AI & Robotics (FAR) is the team at Amazon building the next generation of embodied intelligence. FAR drives the development and implementation of advanced AI models within Amazon’s operations that enable robots to see, reason, and act on the world around them, supporting a number of different warehouse automation tasks.
Basic Qualifications
- Experience in developing functional specifications, design verification plans and functional test procedures
- Bachelor’s or Master’s degree in Mechanical Engineering, Mechatronics, or a related discipline.
- 6 to 10 years in designing mechanical systems for robotics or complex electromechanical products.
- Strong proficiency in 3D CAD (e.g., Solid Works, On Shape, or equivalent).
- Significant hands-on experience building prototypes, integrating hardware, and troubleshooting mechanical/electromechanical issues.
- Deep understanding of actuator and motor selection for complex robotic applications, including sizing for torque, speed, and thermal performance.
- Experience with wire/cable harness design and routing in compact mechanical systems.
- Familiarity with integrating sensing and compute elements into mechanical designs.
- Solid knowledge of DFM/DFA principles and exposure to volume production (50+ units).
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 working on robotic manipulators or high-DOF electromechanical systems.
- Exposure to designing, testing and validation for compliance (design for safety) and environmental factors (thermal, vibration, ingress protection, etc.).
- Experience with structural analysis practices and tools (e.g. FEA/Ansys), thermal analysis, and material selection.
- Basic familiarity with controls or embedded system concepts for integrated design work.
- Experience with formal engineering documentation and design review processes in a corporate R&D setting.
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
2.9
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.3
경영진
2.1
35%
친구에게 추천
장점
Good pay and compensation
Strong benefits package
Flexible scheduling options
단점
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
연봉 정보
4개 데이터
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0개 리포트
$108,330
총 연봉
기본급
$43,332
주식
$54,165
보너스
$10,833
$75,831
$140,829
면접 경험
10개 면접
난이도
3.7
/ 5
소요 기간
21-35주
합격률
20%
경험
긍정 10%
보통 10%
부정 80%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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