In this pivotal role, you will collaborate with subject matter experts to build engaging, impactful content and deliver workshops tailored to diverse audiences, including developers, and other technical and non-technical users.

This role requires a strong understanding of AI concepts, developer workflows, and software development practices, coupled with exceptional communication and facilitation skills.

You will play a key role in ensuring our teams stay ahead of the curve in AI knowledge and application, driving innovation and competitive advantage across the firm.

The ideal candidate excels at adapting their communication style to suit different audiences, and is passionate about teaching and empowering others.

Responsibilities:

Developer Enablement and Advocacy

• Act as a champion for AI adoption and best practices within the organization, enabling developers to build and deploy AI-driven solutions.

• Tinker with and experiment with new AI tools, frameworks, and workflows to understand their potential applications and limitations.

• Identify and document best practices for integrating AI technologies into developer workflows, including coding, testing, deployment, and monitoring.

Content Development and Collaboration

• Design and develop engaging training content, including in-person workshops, virtual sessions, hands-on labs, and technical documentation, with a focus on developer enablement.

• Collaborate with AI subject matter experts and technical teams to create practical, actionable educational materials tailored to developers and engineers.

• Ensure training content stays up to date with the latest AI trends, tools, and methodologies.

Training Delivery

• Facilitate engaging and impactful training sessions for diverse groups, including developers, portfolio managers, and business leaders.

• Adapt tone, style, and delivery methods to suit the audience’s knowledge level and professional background.

• Travel as needed to conduct workshops and training sessions at various locations.

Qualifications/Skills Required:

Technical Expertise:

• Strong understanding of AI concepts, tools, and frameworks (e.g, common AI developer tools, consumer LLM products, AI agents, AI harnesses, tradeoffs required to use LLMs for different tasks)

• Familiarity with developer workflows, software development processes, and tools (e.g., Git, CI/CD pipelines, IDEs, etc.)

• Hands-on experience experimenting with AI tools and frameworks, with the ability to distill insights into practical guidance for developers.

Training and Facilitation:

• Proven experience designing and delivering technical training programs, workshops, or hands-on labs.

• Exceptional communication and facilitation skills, with the ability to engage and inspire technical audiences.

• Experience tailoring content and delivery methods to meet the needs of diverse audiences, including developers, engineers, and non-technical stakeholders.

• Experience designing and iterating training programs based on participant feedback and industry trends.

Collaboration Mindset:

• Ability to build relationships across technical and non-technical teams, acting as a trusted advisor and advocate for AI adoption.

• Passion for community building and enabling others to succeed.

• Curiosity and enthusiasm for experimenting with new technologies and sharing best practices.

• Comfort with ambiguity and a willingness to adapt to a rapidly evolving technology landscape.

• Strong desire to empower others and foster a learning culture within the organization.

Travel:

• Willingness to travel as needed to deliver training sessions at different locations.

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In this pivotal role, you will collaborate with subject matter experts to build engaging, impactful content and deliver workshops tailored to diverse audiences, including developers, and other technical and non-technical users.

This role requires a strong understanding of AI concepts, developer workflows, and software development practices, coupled with exceptional communication and facilitation skills.

You will play a key role in ensuring our teams stay ahead of the curve in AI knowledge and application, driving innovation and competitive advantage across the firm.

Responsibilities:

Developer Enablement and Advocacy

• Act as a champion for AI adoption and best practices within the organization, enabling developers to build and deploy AI-driven solutions.

• Tinker with and experiment with new AI tools, frameworks, and workflows to understand their potential applications and limitations.

• Identify and document best practices for integrating AI technologies into developer workflows, including coding, testing, deployment, and monitoring.

Content Development and Collaboration

• Design and develop engaging training content, including in-person workshops, virtual sessions, hands-on labs, and technical documentation, with a focus on developer enablement.

• Collaborate with AI subject matter experts and technical teams to create practical, actionable educational materials tailored to developers and engineers.

• Ensure training content stays up to date with the latest AI trends, tools, and methodologies.

• Refine and iterate training content based on feedback to ensure continuous improvement and relevance.

Training Delivery

• Facilitate engaging and impactful training sessions for diverse groups, including developers, portfolio managers, and business leaders.

• Adapt tone, style, and delivery methods to suit the audience’s knowledge level and professional background.

• Travel as needed to conduct workshops and training sessions at various locations.

Qualifications/Skills Required:

Technical Expertise:

• Strong understanding of AI concepts, tools, and frameworks (e.g, common AI developer tools, consumer LLM products, AI agents, AI harnesses, tradeoffs required to use LLMs for different tasks)

• Familiarity with developer workflows, software development processes, and tools (e.g., Git, CI/CD pipelines, IDEs, etc.)

• Hands-on experience experimenting with AI tools and frameworks, with the ability to distill insights into practical guidance for developers.

Training and Facilitation:

• Proven experience designing and delivering technical training programs, workshops, or hands-on labs.

• Exceptional communication and facilitation skills, with the ability to engage and inspire technical audiences.

• Experience tailoring content and delivery methods to meet the needs of diverse audiences, including developers, engineers, and non-technical stakeholders.

• Experience designing and iterating training programs based on participant feedback and industry trends.

Collaboration Mindset:

• Ability to build relationships across technical and non-technical teams, acting as a trusted advisor and advocate for AI adoption.

• Passion for community building and enabling others to succeed.

• Curiosity and enthusiasm for experimenting with new technologies and sharing best practices.

• Comfort with ambiguity and a willingness to adapt to a rapidly evolving technology landscape.

• Strong desire to empower others and foster a learning culture within the organization.

Travel:

• Willingness to travel as needed to deliver training sessions at different locations.

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You will work closely with teams across Anthropic to improve reliability across our most critical serving paths. You will be responsible for making the systems that deliver Claude more robust and resilient, whether during an incident or collaborating on projects.

To be successful in this role, you should have strong distributed systems, infrastructure, or reliability backgrounds. You should be curious and brave, comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet.

You will be working on high-availability serving infrastructure across multiple regions and cloud providers. You will support the reliability of safeguard model serving, which is critical for both site reliability and Anthropic's safety commitments.

If you're committed to creating reliable, interpretable, and steerable AI systems, and you're passionate about working on complex technical problems, we'd love to hear from you.

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You may be a good fit for this role if you have strong distributed systems, infrastructure, or reliability backgrounds, are curious and brave, think holistically about how systems compose and where the seams are, can build lasting relationships across teams, care about users and feel ownership over outcomes, have excellent communication and collaboration skills, and bring diverse experience.

Strong candidates may also have experience operating large-scale model serving or training infrastructure, experience with one or more ML hardware accelerators, understanding of ML-specific networking optimizations, expertise in AI-specific observability tools and frameworks, experience with chaos engineering and systematic resilience testing, and contributions to open-source infrastructure or ML tooling.

We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. We value impact and believe that the highest-impact AI research will be big science. We work as a single cohesive team on just a few large-scale research efforts and value communication skills.

If you're interested in this role, please submit an application even if you don't believe you meet every single qualification. We encourage diversity and strive to include a range of diverse perspectives on our team.

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As a Robotics Engineer, you will be responsible for implementing trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions, and requirements in a multi-stakeholder environment. You will also implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces.

In addition, you will contribute to the development of existing software components across Anduril, with the aim of developing components that are reusable across multiple Anduril product lines. You will utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles.

You will conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling. You will also collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing.

This role requires a strong background in robotics, mechatronics, computer science, or engineering, with experience in C++ and/or Python software development. You should have familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras. Demonstrated knowledge of at least one of computer vision, sensor fusion, SLAM, motion planning, or machine learning is required.

Experience in a senior perception or planning role for the delivery of a robotic system is preferred. You should have the capacity to act as the technical owner for a system, including stakeholder engagement, requirements definition, roadmap management, team coordination, design, implementation, sustainment, and evolution. Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules is also required.

Eligibility to obtain and maintain an active U.S. Secret security clearance is necessary for this role.

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We expect Robotics Engineers to demonstrate end-to-end ownership of their projects, contributing as a member of a team to the rapid architecting, design, delivery, support, and evolution of next-generation autonomous platforms through their entire product life-cycle.

Key responsibilities include:

Implementing trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions, and requirements in a multi-stakeholder environment Implementing scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces Contributing to the development of existing software components across Anduril, with the aim of developing components that are re-usable across multiple Anduril product lines Utilizing advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles Conducting thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling Collaborating with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing Traveling to co-locate with end-users and/or other teams up to 20% of the time

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We are seeking a skilled Robotics Engineer to join our Maritime Division. As a Robotics Engineer, you will contribute to the delivery of vehicle perception and planning capability integrated into our products.

This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behaviour analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems.

Responsibilities

• Implement trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions and requirements in a multi-stakeholder environment
• Implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces
• Contribute to the development of existing software components across Anduril, with the aim of developing components that are re-usable across multiple Anduril product lines
• Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles
• Conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling
• Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing

Requirements

• Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
• Experienced and proficient in C++ and/or Python software development
• Familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras
• Demonstrated knowledge of at least one of: computer vision, sensor fusion, SLAM, motion planning, machine learning
• Experience in a senior perception or planning role for the delivery of a robotic system
• Capacity to act as the technical owner for a system, including stakeholder engagement, requirements definition, roadmap management, team coordination, design, implementation, sustainment and evolution
• Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules
• Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
• Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

Preferred Qualifications

• Experience with autonomous systems in the ground, air, maritime or space domains
• Experience with simulation tools and frameworks, such as Gazebo, Unity, or Unreal Engine, for algorithm validation and testing
• Knowledge of safety standards and certification processes for autonomous systems
• Familiarity with System Engineering concepts

Salary and Benefits

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full-time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

• Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.
• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December.
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.
• Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development - Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the highest standards of integrity and transparency in our recruitment processes.

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A typical day will involve leveraging AI and tooling to lead the implementation of a test automation strategy, covering the entire testing pyramid (unit, service, integration, and end-to-end testing) to verify feature functionality for customer use cases. You will also lead building, maintaining, and effective utilization of automated tests, collaborating closely with engineering teams to ensure robust test coverage for features and releases, and actively participating in the continuous improvement of testing processes.

We are looking for someone with 5+ years of industry experience in software testing and automation, demonstrable knowledge in Swift and XCUITest, strong hands-on experience with automation methodologies, tools, and frameworks, and experience integrating automated tests into CI/CD pipelines (e.g., Buildkite, Spinnaker, Jenkins) and version control systems (Git).

The ideal candidate will be a player of our high-performance team to ensure code quality, commitment to craft and operational excellence, and will work closely with cross-functional teams, including product management, development, and other QE teams, in a fast-paced environment with short release cycles.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects.

Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most.

Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it.

Responsibilities:

• Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity.

• Design and implement monitoring and observability systems across the token path.

• Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers

• Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements.

• Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments.

You may be a good fit if you:

• Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs.

• Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet.

• Think holistically about how systems compose and where the seams are.

• Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions.

• Care about users and feel ownership over outcomes, even for systems you don't own.

• Have excellent communication and collaboration skills -- you'll be partnering across the entire company.

• Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between.

Strong candidates may also:

• Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems

• Have experience operating large-scale model serving or training infrastructure (>1000 GPUs).

• Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium).

• Understand ML-specific networking optimizations like RDMA and InfiniBand.

• Have expertise in AI-specific observability tools and frameworks.

• Have experience with chaos engineering and systematic resilience testing.

• Have contributed to open-source infrastructure or ML tooling.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as a team sport, where everyone contributes to the overall success of the team.

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As a Societal Impacts research scientist on the Models Research Pod, you'll close the loop between observing Claude's behavior and improving it at the model level. You'll use observational tools like Clio to analyse real-world usage patterns and build evaluations that assess whether Claude provides safe responses aligned with its Constitution.

Responsibilities:

• Using observational tools like Clio to analyse real-world usage patterns and surface insights about how people interact with Claude.
• Building and running evaluations to assess Claude's behaviour across key dimensions of its Constitution, such as safety and quality of advice in high-stakes situations.
• Partnering closely with fine-tuning, safeguards, policy, and interpretability teams to translate research insights into model improvements.
• Generating insights about the societal impact of Anthropic's systems and using this understanding to inform company strategy, research priorities, and policy positions.
• Sharing your work through research publications and external presentations, and developing tools and frameworks that make AI systems more understandable to policymakers, academics, and civil society.

You may be a good fit if:

• You have experience working with machine learning systems and are comfortable with technical infrastructure for interfacing with models.
• You have an interest in societal impacts research; prior experience in this area is a plus but not required.
• You're adaptable and collaborative, able to take direction and contribute to team priorities rather than needing to pursue a predetermined research agenda.
• You're skilled at writing up and communicating your results, even when they're null or unexpected.
• You find it exciting to partner with colleagues across teams on large-scale projects where the whole company contributes to building and analysing AI systems.
• You have a background in machine learning, data science, or another technical field that involves generating insights from complex systems.
• You're passionate about translating research insights into actionable recommendations for improving AI systems and informing policy.
• For senior candidates: you're willing to do hands-on work while also helping shape research direction, and you may be interested in management opportunities down the line.

Some examples of our work:

• Clio: A system for privacy-preserving insights into real-world AI use
• Values in the Wild
• How People Use Claude for Support, Advice, and Companionship
• Economic Index
• How AI is Transforming Work at Anthropic
• Education Report: How University Students Use Claude
• The Capacity for Moral Self-Correction in Large Language Models
• Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviours, and Lessons Learned
• Challenges in evaluating AI systems
• Towards Measuring the Representation of Subjective Global Opinions in Language Models
• Collective Constitutional AI: Aligning a Language Model with Public Input

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