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Remote Amazon Quantum Computing Jobs in California

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Solid understanding of Linux systems and distributed computing environments. * Experience with GPU ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Solid understanding of Linux systems and distributed computing environments. * Experience with GPU ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

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All JobsRemote Amazon Quantum Computing JobsRemote Amazon Quantum Computing Jobs in California

Remote Amazon Quantum Computing information

What are Remote Amazon Quantum Computing jobs?

Remote Amazon Quantum Computing jobs involve working with Amazon's quantum computing services, such as Amazon Braket, from a remote location. These roles typically focus on developing algorithms, conducting research, and building applications that leverage quantum computing technologies. Employees in these positions may collaborate with scientists, software engineers, and cloud specialists to solve complex computational problems and advance the field of quantum computing. The remote aspect allows professionals to contribute from anywhere, providing flexibility while working on cutting-edge technology. These jobs often require strong backgrounds in physics, computer science, mathematics, or related fields.

What is the difference between Remote Amazon Quantum Computing vs Remote Quantum Software Engineer?

AspectRemote Amazon Quantum ComputingRemote Quantum Software Engineer
Required CredentialsQuantum computing certifications, physics or computer science degreesComputer science or software engineering degrees, programming skills
Work EnvironmentResearch labs, cloud-based platforms, collaborative teamsSoftware development environments, remote collaboration tools
Employer & Industry UsageAmazon, tech and research sectorsTech companies, startups, research institutions
Common Search & Comparison IntentUnderstanding roles in quantum computing at AmazonDeveloping quantum algorithms and software

Remote Amazon Quantum Computing roles focus on research and development of quantum algorithms within Amazon's cloud infrastructure, requiring specialized physics or quantum computing expertise. Remote Quantum Software Engineers develop software for quantum systems, emphasizing programming skills and software development. Both roles are integral to advancing quantum technology but differ in their focus and required credentials.

What are the key skills and qualifications needed to thrive as a Remote Amazon Quantum Computing specialist, and why are they important?

To thrive as a Remote Amazon Quantum Computing specialist, you need a strong background in quantum mechanics, computer science, and mathematics, typically supported by an advanced degree in a related field. Familiarity with Amazon Braket, quantum programming languages like Qiskit or Cirq, and cloud computing platforms is essential. Excellent problem-solving, collaboration, and communication skills help you translate complex concepts and work effectively with interdisciplinary teams. These skills are crucial for developing innovative quantum solutions, supporting customers, and advancing Amazon's quantum computing initiatives.

What unique challenges do professionals face when working remotely in Amazon's Quantum Computing division?

Working remotely in Amazon's Quantum Computing division presents unique challenges such as collaborating across multiple time zones, staying updated with rapid advancements in quantum research, and maintaining effective communication with highly specialized teams. Since quantum computing projects often require interdisciplinary knowledge, remote employees must proactively engage in virtual meetings, document their work clearly, and use collaborative tools to bridge gaps between software engineers, physicists, and product managers. Staying connected through regular check-ins and leveraging Amazon's robust remote infrastructure helps ensure successful project delivery and continuous professional development.
What are the most commonly searched types of Amazon Quantum Computing jobs in California? The most popular types of Amazon Quantum Computing jobs in California are:
What are popular job titles related to Remote Amazon Quantum Computing jobs in California? For Remote Amazon Quantum Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Quantum Computing jobs in California look for? The top searched job categories for Remote Amazon Quantum Computing jobs in California are:
What cities in California are hiring for Remote Amazon Quantum Computing jobs? Cities in California with the most Remote Amazon Quantum Computing job openings:
Remote Amazon Quantum Computing jobs near you

Senior Software Engineer, MLOps

FieldAI

Irvine, CA • On-site, Remote

$131K - $173K/yr

Full-time

Posted 18 days ago

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

We are seeking a skilled and motivated Senior MLOps Engineer to join our engineering team. In this role, you will design and maintain the infrastructure and tooling that supports the full lifecycle of machine learning systems used in robotics applications. You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an exciting opportunity to help operationalize machine learning in real-world robotic systems within a fast-growing and dynamic environment.

What You Will Get To Do

  • Design, build, and maintain GPU based infrastructure for machine learning pipelines, including data processing, training, evaluation, inference and deployment workflows.

  • Collaborate closely with robotics teams to implement model serving infrastructure for edge/robot deployment.

  • Build tools and automation to support reproducible experiments, model versioning, and dataset management.

  • Deploy and manage ML services and inference pipelines using containerized environments for efficient scaling and scheduling of heterogeneous compute resources.

  • Monitor model performance and system reliability across development and production environments.

  • Improve the efficiency, scalability, and reliability of ML workflows and infrastructure.

  • Work with cross-functional engineering teams to integrate ML components into robotics software systems.

What You Have

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

  • 3-7 years of experience in MLOps, machine learning infrastructure, or related engineering roles.

  • Strong programming skills in Python or similar languages.

  • Experience building and maintaining machine learning pipelines.

  • Hands-on experience with cloud and cloud-native tools such as AWS (SageMaker, S3, or similar cloud ML services), Kubernetes etc.,

  • Solid understanding of Linux systems and distributed computing environments.

  • Experience with GPU workload scheduling and orchestration across multi-region cloud environments.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

What Will Set You Apart

  • Experience deploying and operating ML systems for robotics or real-world physical systems.

  • Experience with scaling AI, ML, and inference workloads on Kubernetes.

  • Exposure to ROS-based robotics data formats and pipelines (rosbags, point clouds)

  • Experience with experiment tracking, model versioning, or dataset versioning tools.

  • Experience optimizing ML pipelines for large-scale training and data processing.

  • Experience working closely with research or applied machine learning teams.

Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
 
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
 
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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