Jobs in United States, Pasadena

Key job responsibilities
This role will be responsible for the operations of the cryogenic systems, which includes reconfiguration, documentation, and quantum processor integration. In addition to DR operations, the scope of the role also includes assembly, integration, and testing of novel cryogenic RF/Microwave hardware.A day in the life
You will work within the Cryogenic Hardware team and alongside the Test and Measurement team to reconfigure, assemble, test, and operate cryogenic systems weekly. You will coordinate with stakeholders on reconfiguration requirements, documentation, scheduling, and integration of new devices. In addition to cryogenic systems operations, you will work along side Cryogenic Hardware engineers with assembly, integration, and testing novel hardware projects. The ideal candidate embraces a fast-paced startup environment—they must be able to learn quickly, operate independently, communicate clearly, and consistently demonstrate reliability.About 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.*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 Balance*
*Inclusive Team Culture*
*Mentorship 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.

- Associates degree in a technical or mechanical engineering discipline
- 4+ years of hands on experience in precision mechanical assembly and/or maintenance of complex scientific instrumentation
- Curiosity/capability to rapidly research and learn new techniques or technical topics
- Proficient in Microsoft Office

- Experience with precision electro-mechanical assembly (e.g. parts cleaning, mechanical tolerances, torqueing requirements, cable management)
- Experience and knowledge of precision mechanical tools
- Experience working with cryogenic test setups (e.g. dilution refrigerators)
- Experience with the assembly and testing of microwave (e.g. semi-rigid coax) and low-frequency wiring harnesses
- Excellent craftsmanship in mechanical assembly
- Ability to assemble, test, rework, and maintain PCB electronics and cable assemblies
- Familiarity with CAD tools for viewing and manipulating models (e.g. SolidWorks, Inventor)
- Familiarity with MS Project
- Familiarity with manual machining

Key job responsibilities
The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment.Responsibilities-
- Work closely with Applied scientists to process data, scale machine learning models while optimizing
- Will work in an Agile/Scrum environment to deliver high quality software.

- 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

- 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

Key job responsibilities
Job Responsibilities:• Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.
• Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.
• Work closely with applied scientists to optimize the performance of machine-learning models, improve the team’s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own.

- 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
- Experience building complex software systems that have been successfully delivered to customers

- 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
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience with AI/ML technologies
- Experiences with LLM, prompt engineering

Key job responsibilities
A day in the life
About 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.Our team is comprised of scientists and engineers who are building hardware that enables quantum computing technologies. Doing that requires the fabrication of quantum devices, which necessitates the operation of a suite of fabrication and characterization equipment. Equipment Engineers work to maintain and improve the equipment – and the labs in which the equipment is installed – and work alongside Process Engineers and Research Scientists to help deliver fabricated devices for quantum computing experiments.*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 Balance*
*Inclusive Team Culture*
*Mentorship 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.

- 5+ years of working hands-on in equipment engineering or equivalent experience
- Experience with maintaining and servicing fabrication and/or characterization equipment
- Experience using common lab tools for troubleshooting (e.g., multimeters, oscilloscopes, etc.)
- Experience with vacuum, high vacuum, and/or ultra-high vacuum systems

- Familiarity with reactive ion etching tools and principles
- Knowledge of SolidWorks (or similar) design tools
- Good problem solving, analytical, writing and communication skills
- Curiosity and capability to rapidly research and learn new tools, techniques and technical topics
- Self-starter with excellent organizational skills

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)

Your ability to learn quickly and handle multiple overlapping tasks will define your success in this fast-evolving video ecosystem. You'll maintain a high bar for operational excellence while promoting innovation and ensuring appropriate resources are in place to deliver exceptional live event experiences. As an operational leader, you'll implement continuous improvement processes, define success metrics, and recommend strategies that meet quality, performance, and sustainability criteria.
Key job responsibilities
Drive innovation and provide clear, challenging vision while ensuring appropriate resources are in place to deliver exceptional live streaming experiencesRecruit, manage, and mentor Live Ops Support Engineers while developing their technical capabilities and operational expertiseRecommend and implement strategies and systems that meet quality, performance, and sustainability criteria for live event broadcasting
A day in the life
Your day begins with reviewing overnight event performance and addressing any critical issues that require immediate attention. You'll lead a morning stand-up with your team to prioritize the day's live events and allocate resources appropriately. Throughout the day, you'll monitor ongoing live streams, providing guidance during escalations and coordinating with engineering teams when necessary. You'll balance operational oversight with strategic planning, dedicating time to analyze performance metrics and identify process improvements to enhance efficiency and event quality.

- 5+ years of technical support experience
- 3+ years of operational experience
- 2+ years of management experience
- Experience in requirement gathering and ability to write clear and detailed requirement document
- Experience developing customer relationships and influencing key decision-makers
- Experience establishing metrics for measurement of engineering and operational excellence
- Experience with video encoding and streaming media standards
- Knowledge of AWS or cloud technologies
- 3+ years streaming video delivery experience running large audience events, and understanding of encoding and transcoding technologies
- Experience with on-site, live video production or master control facility operations
- Experience with video quality metric tools (i.e. TAG, IneoQuest)
- Proven ability to troubleshoot and identify the root cause of issues, you're a natural problem solver!

We are looking to add a Senior Technical Program Manager to support our software development efforts. You will pair with technical leads to plan and execute a continuous stream of small projects that support the software build-out and development of automation capabilities to fabricate and operate our quantum hardware. The projects a successful candidate will work on span a broad range of topics, including the development and implementation of new of tools to ingest data, accelerate testing, streamline and automate operations. These projects do not work on the actual quantum hardware, but rather are meant to drive efficiency, and accelerate our hardware development effort. This role will operate in an environment with a high degree of ambiguity, where the scope and deliverables are fluid, but where a successful applicant can navigate these challenges to make detailed plans and negotiate resources across a matrixed organization. Given the diversity of projects, a successful applicant will have an opportunity to gain familiarity with all aspects of hardware development and testing for quantum computing, and thus will require a capability to multitask paired with an innate curiosity to dive deep.You will partner with other TPMs and work across team boundaries and project lines to identify and unblock resource conflicts. You will leverage your experience in managing complex technical programs to make data-informed decisions at a programmatic level. In this role, you will also support the definition of technical project management standards across the Center of Quantum Computing. Additionally, as an experienced project manager, you will have the opportunity to contribute to shaping our general project management practices across the organization. This includes improving our general lifecycle approach for projects, while also increasing our ability to promote visibility of project progress to other teams and senior leadership. Familiarity with system engineering topics that intersect with project management, such as quantitative risk management, reviews, and requirements management is highly desirable.*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 Balance*
*Inclusive Team Culture*
*Mentorship 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
1. Identify opportunities where inhouse developed software can streamline our internal hardware and software workflows.
2. Develop requirement documents that translate customer needs into software workable solutions.
3. In collaboration with our software managers develop plans (including identifying resources) to develop our internal software platforms.
4. Support the internal roll-out and adoption of these tools.
5. Compile customer feedback and use this to drive incremental improvements of existing software tools.About 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.

- Bachelor's degree in engineering, computer science or equivalent
- 7+ years of technical program management working directly with software engineering teams experience
- Experience leading highly technical programs involving infrastructure, complex systems, systems engineering
- Experience in project management disciplines including scope, schedule, budget, quality, along with risk and critical path management
- 5+ years of experience interfacing with software/hardware teams in an academic or R&D space.
- Experience communicating with technical and non-technical stakeholders.

- Master's or PhD in a relevant topic (computer science, math, physics, etc.).
- Demonstrated ability to implement both agile and traditional ‘waterfall’ project management practices.
- Demonstrated ability to dive deep in at least one engineering domain other than software.
- Experience in the application of machine learning and AI tools to improve or automate a design, production, or testing processes in an industrial context.
- Familiarity with cloud-based architectures, ideally based on Amazon Web Services.
- Excellent written and oral communication skills.
- Familiarity with the layers of the quantum computing stack and the quantum devices lifecycle would be an advantage.