Inventory Control Clerk jobs

We are looking to hire an Infrastructure Software Engineer to join our growing software team. You will work closely with our experimental and theoretical physics teams to enable their work characterizing, calibrating, and operating novel quantum devices. The ideal candidate will be able to translate high-level science requirements into software infrastructure implementations (e.g. CDK scripts, web servers, database schemas) that are performant, scalable, and secure. This requires someone who (1) has a strong desire to work within a team of scientists and engineers, and (2) demonstrates ownership in initiating and driving projects to completion. As an Infrastructure Software Engineer, this role has a particular emphasis on the scalability and performance of the database and cloud infrastructure that supports the experimental physics efforts at the AWS Center for Quantum Computing.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.Mentorship & 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.Work/Life Balance
Export Control Requirement
Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a US export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility.Key job responsibilities
Responsibilities include some combination of the following:- Profile and optimize the performance of the database API and infrastructure to enable faster experiments and analysis routines.
- Propose and implement horizontal scaling strategies to enable high, multi-region availability of experimental data and scaling to larger quantum devices.
- Leverage infrastructure-as-code to continuously deploy improvements to our data & automation platforms.
- Lower the barrier to entry for software development by automating schema migrations and enabling seamless setup of dev environments.
- Implement best practices for observability and monitoring to enable rapid debugging and high service uptime.
- Empower others to actively contribute to the codebase through mentorship and documentation.A day in the life
The majority of your time will be spent on projects that extend the functional capabilities or performance of our internal research software stack. This requires working backwards from the needs of our science staff in the context of our larger experimental roadmap. You will translate science and software requirements into design proposals balancing implementation complexity against time-to-delivery. Once a design proposal has been reviewed and accepted, you’ll drive implementation and coordinate with internal stakeholders to ensure a smooth roll out. Because many high-level experimental goals have cross-cutting requirements, you’ll often work closely with other engineers or scientists or on the team.
Export Control Requirement:Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a U.S export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility.

- 2+ 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
- 2+ years of Python software development experience
- Experience with full-stack web development (e.g. client-server architectures, databases)
- Experience working with and optimizing SQL databases
- Experience with using infrastructure-as-code to design and deploy cloud services
- Experience with the full software development lifecycle (planning, design, implementation, testing, deployment, and maintenance)

- Experience working with scientists in a research environment
- Experience with data modeling for scientific use cases
- Experience with AWS tools and services (e.g. CDK)
- Experience with Javascript and React
- Experience with REST and GraphQL
- Experience with common open-source software for data analysis and machine learning
- Experience in experimental physics or quantum computingPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
- Provide Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software and firmware for Machine Learning Accelerator (MLA) servers.- Work within the larger MLA Systems Software group to support development of mission-mode firmware, exercisers for manufacturing and vetting, and automation for qualification and deployment.
- Engage in new product development by participating in early concept design reviews, schematic approvals, offsite board bringup and laboratory-based testing.A day in the lifeDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.About AWSWork/Life Balance
Mentorship & 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.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team

- Bachelor's degree in computer science or equivalent
- Experience writing software for DDR/HBM controllers and PHYs

About the Role:You will work on the mechanical 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.What You Bring:* A systems-thinking mindset with a strong grasp of cross-domain engineering tradeoffs.
* A bias toward action: comfortable building, testing, and iterating rapidly.
* A collaborative and communicative working style — especially in multi-disciplinary research environments.
* A passion for robotics and advancing the state of the art in intelligent, capable machines.
Key job responsibilities
* Lead mechanical design of robotic subsystems and full platforms, including structures, joints, enclosures, and mechanisms for a research environment.
* Specify and integrate actuators and motors for high-torque density applications in high-degree-of-freedom systems.
* Design and route cabling and wire harnesses, ensuring reliability, serviceability, and thermal/electrical integrity.
* Contribute to thermal management strategies for motors, sensors, and embedded compute hardware.
* Integrate sensors such as lidar, stereo cameras, IMUs, tactile sensors, and compute modules into compact, functional assemblies.
* Prototype and test mechanical systems; support hands-on builds, debug sessions, and field testing.
* Conduct root cause analysis on system-level failures or performance issues and implement design improvements.
* Apply Design for Manufacturing (DFM) and Design for Assembly (DFA) principles to transition prototypes into scalable builds (10s–100s of units).
* Collaborate with cross-functional teams in electrical engineering, controls, perception, and research to meet research and product goals.

- Knowledge of SolidWorks or similar CAD experience and understanding of best practices for part design, and advanced assemblies
- Bachelor’s or Master’s degree in Mechanical Engineering, Mechatronics, or a related discipline.
- 3-6+ years of experience designing mechanical systems for robotics or complex electromechanical products.
- Significant hands-on experience building prototypes, integrating hardware, and troubleshooting mechanical/electromechanical issues.
- Solid knowledge of DFM/DFA principles and exposure to volume production (50+ units).

- 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.
- 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.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.Mentorship & 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.Work/Life Balance
Export Control Requirement
Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a US export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility.Key job responsibilities- Be comfortable “getting your hands dirty” i.e. diving deep into software architecture, metrics, and implementation.
- Regularly provide technical evaluation and feedback to your reports (e.g. via code review, design docs, etc.).A day in the life
The majority of your time will be spent orchestrating, coaching, and growing the Control Stack team at the AWS Center for Quantum Computing. This requires collaborating with other science and software teams and working backwards from the needs of our science staff in the context of our larger experimental roadmap. You will translate science needs and priorities into software project proposals and resource allocations. Once project proposals have been accepted, you will support and empower your team to deliver these projects on time while maintaining high standards of engineering excellence. Because many high-level experimental goals have cross-cutting requirements, you’ll need to stay in sync with partner science and software teams.

- 3+ years of engineering team management experience
- 7+ years of engineering experience
- Experience managing the full software development lifecycle and implementing software best practices
- Proven track record of collaborating with scientists and/or hardware engineers to develop software
- Experience sourcing, interviewing, and hiring software engineers
- Excellent written and verbal communication skills
- Experience with one or more of the following:
- (1) Commercial, academic, or open-source quantum control systems
- (2) RFSoC development platforms + FPGA development (e.g. AMD ZCU216)
- (3) Standard laboratory test and measurement equipment and drivers (e.g. Spectrum Analyzer, VNA)

- Experience with one or more of the following:
- (1) Programming language implementation or compiler development
- (2) Embedded systems + strict timing constraints (e.g. bare metal, RTOS, custom Linux builds)
- (3) Software telemetry systems and standards (e.g. CloudWatch, OpenTelemetry)
- (4) High-performance networking technologies (e.g. RDMA, UltaEthernet, UALink)
- (5) Distributed systems (e.g. distributed event streaming)