You will work closely with engineering, supply chain, and quality teams to ensure products are manufacturable, traceable, and built to the required standards in a regulated environment.

Responsibilities:

• Develop, document, and maintain manufacturing processes, procedures, and work instructions for mechanical, electrical, and electromechanical assemblies.
• Support small production runs of high-value products, including occasional hands-on involvement to validate and refine manufacturing processes.
• Establish and continuously improve production workflows, tooling, fixtures, and assembly methods.
• Act as the primary manufacturing interface for engineering teams, providing input on DFM, and DFA.

Quality Systems & Compliance:

• Operate within and help maintain an ISO 9001 compliant manufacturing environment.
• Develop manufacturing records, support test reports and build documentation to ensure traceability and repeatability.
• Support internal and external audits and drive corrective and preventive actions as needed.
• Collaborate with quality teams to ensure production meets defined quality and reliability requirements.

Production Environment & Operations:

• Establish and manage production infrastructure, including equipment selection, calibration, maintenance, and tooling procurement.
• Support production builds through quality control checks, non-conforming material handling, and troubleshooting.
• Support production planning, scheduling, and on-time delivery of assemblies.

Systems & Data:

• Support the implementation and use of ERP, PLM, and PDM systems to manage production data, BOMs, revisions, and work orders.
• Ensure alignment between engineering data and manufacturing execution.

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You are a passionate, hands-on engineer with a deep commitment to reliability, safety, and continuous improvement in AI-driven systems. You thrive in environments where innovation meets operational excellence, bringing a pragmatic yet creative approach to solving complex challenges.

Responsibilities

• Design, build, and iterate on production AI agents,both single and multi-agent,that can reason, plan, and execute actions across enterprise workflows.
• Implement robust tool-use by defining tool schemas/function calling, integrating with internal APIs, and enforcing permissions, rate limits, and safe retries.
• Build agent orchestration and state management (conversation context, memory, task state, handoffs) using agent frameworks or custom orchestration solutions.
• Develop high-quality retrieval-augmented generation (RAG) and knowledge-access patterns to ground agents on enterprise data with freshness, citation, and attribution.
• Own agent reliability by establishing observability (traces, token/latency/cost), error handling, fallback strategies, and continuous improvement based on production feedback.
• Create evaluation harnesses and quality gates (golden tasks, automated regression tests, red teaming) to measure accuracy, safety, and business impact.
• Partner with product, security, and platform teams to ship secure agent capabilities, including guardrails, prompt-injection defenses, and audit logs.
• Deliver agent experiences that automate complex operational tasks end-to-end, reducing toil and improving service quality for enterprise users.

Impact

• Raise the bar on agent reliability and trust through measurable evaluations, guardrails, and continuous iteration.
• Enable faster incident triage and remediation by equipping AI agents to interpret telemetry and execute approved runbooks safely.
• Accelerate delivery of new agent capabilities by standardizing patterns for tool-use, memory, orchestration, and deployment.
• Improve decision-making and visibility by producing grounded, auditable outputs with citations and traceable actions.
• Drive operational excellence by automating complex, repetitive tasks, freeing up your colleagues to focus on higher-value activities.
• Contribute directly to Synopsys’ leadership in enterprise AI by building scalable, secure, and trusted agent solutions that power our global operations.

Requirements

• 5+ years of software engineering experience, including shipping production services (Python preferred; other strong backend experience welcome).
• Hands-on experience building LLM applications/agents: prompt design, tool/function calling, structured outputs, and conversation state management.
• Experience with at least one agent framework (LangGraph, Semantic Kernel, AutoGen, LangChain, CrewAI, or equivalent custom orchestration).
• Strong grounding/RAG experience: retrieval design, chunking, embeddings, re-ranking, and evaluation of grounded answers.
• Experience building evaluation and testing for LLM systems (golden datasets, offline/online metrics, regression tests, A/B experiments).
• Knowledge of safety and security for agents: prompt injection, data exfiltration risks, least-privilege tool access, and auditability.
• Production engineering mindset: observability, incident response, performance/cost optimization, and reliable deployments.
• Bonus: Experience integrating enterprise tools/APIs (ticketing, monitoring, CI/CD, cloud) and building secure tool gateways/registries (e.g., MCP).

Team

You’ll join a dynamic, multidisciplinary team at Synopsys focused on advancing enterprise AI reliability and automation. Our team is dedicated to building robust agent solutions that transform operational workflows, drive efficiency, and elevate service quality across the organization. We collaborate closely with product, security, and platform teams to ensure our AI capabilities are secure, scalable, and impactful. As part of this team, you’ll have the opportunity to influence the direction of enterprise AI and contribute to Synopsys’ ongoing success in shaping the future of technology.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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You will partner with Account Executives and Account Managers in a high-accountability Pod structure. This is not a reactive support role,this is a proactive, strategic technical leader who identifies blockers before they become problems, champions new use cases, and directly influences $5M+ in annual recurring revenue.

Responsibilities:

Pre-Sales

• Strategic Technical Discovery: When you are pulled into complex deals, you join as the expert closer. You run deep discovery on their stack and constraints, then design the winning technical strategy.

• Proof of Value (POV) & Live Building: You build live, functional applications on the fly during executive meetings to prove immediate value and technical feasibility to VPs and C-suite stakeholders.

• Context & Connectivity (MCP): You write and deploy Model Context Protocol (MCP) servers to securely connect Replit Agents to customer-specific data, making Replit the central hub for their internal development.

• Enterprise Governance: You own the "Guardrails" mission. You configure workspace policies and AI governance templates that solve for data safety, compliance, and CISO approval.

• Infrastructure Strategy: You lead deep-dive reviews for Single-Tenant/VPC deployments, ensuring Replit fits the customer’s security posture.

• Hackathons & Trials: You lead high-energy Hackathons alongside Account Executives to drive hands-on experience and excitement about Replit.

Post-Sales

• Production Foundation: You lead the technical kickoff, ensuring production-ready SSO/SCIM provisioning, guardrails, and security setup.

• Technical Onboarding & Enablement: You ensure customers learn how to build in Replit to its maximum capabilities. You enable technical and non-technical teams by running training sessions and workshops that establish enterprise workflows with Replit.

• Design Systems: You build Design Systems and starter templates tailored to the customer’s stack to accelerate their internal development time.

• Drive Viral Growth: You build trust with key technical stakeholders, proactively running enablement sessions to keep teams building. You act as the spark for viral growth within the account.

• Source & Qualify Expansion: Work with Account Managers to proactively identify new teams, new use cases, and new projects. You provide the technical validation to support the commercial close.

• Run Value-Based QBRs: Co-lead quarterly business reviews, shifting the conversation to business value delivered and strategic roadmap alignment.

Required skills and experience:

• 5-7+ years in technical customer-facing roles such as Solutions Engineer, Sales Engineer, Implementation Engineer, Forward Deployed Engineer, Technical Account Manager, or Customer Success Engineer at a high-growth B2B SaaS or dev tools company

• Replit Power User: You understand Replit better than 99% of our users. You have likely built Replit apps before. To facilitate this, we provide interviewees with credits/access to the platform.

• Enterprise Depth: You have worked with enterprise prospects to drive adoption, expansion, and renewal. You can explain complex technical concepts to non-technical executives and translate business requirements into technical architecture.

• Live Builder: You’ve run POCs, onboarding sessions, and workshops. You can listen to vague requirements and translate them on the fly into technical concepts, creating live apps in real-time.

• Production Engineering: You can read and write code (JavaScript, Python, or similar). You understand APIs, databases, CI/CD pipelines, and modern cloud architecture.

• Pod Mentality: You thrive in a high-accountability POD structure.

• Military Experience: Relevant military experience with technology is counted as background and experience.

Comfort with up to 25% travel (expect 30%+).

Nice to have:

• Experience with AI-powered dev tools (Cursor, Windsurf, Lovable, Claude Code, Zapier etc.)

• Understanding of AI Evaluation patterns (Evals) and Context Management (RAG, System Prompts).

• Background in DevOps, cloud infrastructure (AWS/GCP/Azure), or SRE.

Tools + Tech Stack for this role:

• Replit

• HubSpot CRM

• SSO/SAML/SCIM identity systems

• Cloud platforms (AWS, GCP, Azure)

• Slack

• Claude

• ChatGPT

• Gemini

• Notion

• Superhuman

• ZoomInfo

• Hex

This role may not be a fit if:

• You haven’t had your “Replit Moment”. You didn’t explore the product on your own, get mind-blown by the speed of creation, and immediately start showing your apps to friends and family.

• You are uncomfortable building functional apps on the fly in front of executives or need a script to demonstrate value.

• You prefer reactive troubleshooting over proactively identifying architectural blockers and owning the technical strategy.

• You struggle to debug code, configure SSO, or understand cloud infrastructure without significant hand-holding.

• You aren’t obsessed with how Agents are rewriting the SDLC, and you don’t use AI tools to build in your own spare time.

• You struggle in ambiguous, high-growth environments where you often have to build the tool or process required to solve the problem.

• You’re not comfortable with significant travel (up to 30%+) for customer meetings and on-site engagements

• You prefer transactional interactions over building deep, multi-year customer relationships

Full-Time Employee Benefits Include:

• Competitive Salary & Equity

• 401(k) Program with a 4% match

• Health, Dental, Vision and Life Insurance

• Short Term and Long Term Disability

• Paid Parental, Medical, Caregiver Leave

• Commuter Benefits

• Monthly Wellness Stipend

• Autonomous Work Environment

• In Office Set-Up Reimbursement

• Flexible Time Off (FTO) + Holidays

• Quarterly Team Gatherings

• In Office Amenities

Want to learn more about what we are up to?

• Meet the Replit Agent

• Replit: Make an app for that

• Replit Blog

• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles

• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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Since the 2026 season, Audi has been competing in the FIA Formula 1 World Championship. The new team has three locations. The Motorsport Competence Center of Audi in Neuburg (Germany) is considered one of the most modern of its kind in Europe. The Formula 1 factory of Audi Motorsport AG in Hinwil (Switzerland) is known for its innovative technologies and passion for racing. The Audi Motorsport Technology Center in UK is in its launch phase and growing continuously. Our Power Unit comes from Neuburg, while Hinwil is responsible for the development of the chassis and race operations.

We are looking for individuals who embody the mindset of an athlete, with a strong drive to succeed and a willingness to push beyond limits. As part of our team, you will be part of a unique project that is making motorsport history.

Your Mission

In the field of high-voltage battery and high-voltage electronics development, you will work on key components of high-performance electric powertrains and contribute to our competitiveness in a highly competitive environment. You will be responsible for joining technologies within the manufacturing of traction batteries and will ensure their consistent quality to guarantee successful deployment in high-performance motorsport applications. In addition, you will support the production of HV batteries in close coordination with manufacturing.

• Defining and developing joining technologies, with a particular focus on various types of welded joints
• Contributing to and further developing joining technologies in the electronics sector (soldering, bonding, metal welding)
• Process definition, execution and monitoring of cell welding for HV batteries
• Ensuring a stable and reproducible manufacturing process for HV batteries
• Supporting material analyses alongside production and development, in collaboration with quality assurance, to validate and ensure production quality
• Supporting pre-development work in the ERS sector regarding joining technologies
• Further development of HV battery production
• Analysis and definition of production processes within HV batteries in coordination with development and manufacturing
• Close collaboration with cell development, HV electronics, manufacturing & testing

Your Profile

• A degree in Mechanical Engineering, Electrical Engineering, Production Engineering, Process Engineering or a comparable discipline
• Several years’ experience in the field of high-voltage (HV) batteries, HV electronics or joining technology (laser welding, plasma treatment, automated manufacturing, battery production)
• Experience in operating laser welding systems and metallic joining processes in an HV environment
• Knowledge of materials testing, metallurgical analysis and process validation
• Training as a qualified electrician (EFK) and experience of working with high-voltage systems is an advantage
• Basic knowledge of CATIA V5 is desirable
• Independent, structured approach to work, high motivation and strong team spirit
• Willingness to work flexibly and in a solution-oriented manner within a highly dynamic motorsport environment
• You have business fluency in German or English and are willing to learn basic knowledge of the other language

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Compensation is determined based on career level, with the OTE for this role being between $150K – $250K. Offers Equity.

About the Role

As an Enterprise/Strategic Field Engineer (L5), you'll be the technical cornerstone for Replit's largest and most strategic accounts. This is a hybrid role: high-impact pre-sales (closing complex technical evaluations) and post-sales (driving adoption, expansion, and retention).

You'll partner with Account Executives and Account Managers in a high-accountability Pod structure. This is not a reactive support role,this is a proactive, strategic technical leader who identifies blockers before they become problems, champions new use cases, and directly influences $5M+ in annual recurring revenue.

Responsibilities

Pre-Sales

• Strategic Technical Discovery: When you are pulled into complex deals, you join as the expert closer. You run deep discovery on their stack and constraints, then design the winning technical strategy.

• Proof of Value (POV) & Live Building: You build live, functional applications on the fly during executive meetings to prove immediate value and technical feasibility to VPs and C-suite stakeholders.

• Context & Connectivity (MCP): You write and deploy Model Context Protocol (MCP) servers to securely connect Replit Agents to customer-specific data, making Replit the central hub for their internal development.

• Enterprise Governance: You own the "Guardrails" mission. You configure workspace policies and AI governance templates that solve for data safety, compliance, and CISO approval.

• Infrastructure Strategy: You lead deep-dive reviews for Single-Tenant/VPC deployments, ensuring Replit fits the customer’s security posture.

• Hackathons & Trials: You lead high-energy Hackathons alongside Account Executives to drive hands-on experience and excitement about Replit.

Post-Sales

• Production Foundation: You lead the technical kickoff, ensuring production-ready SSO/SCIM provisioning, guardrails, and security setup.

• Technical Onboarding & Enablement: You ensure customers learn how to build in Replit to its maximum capabilities. You enable technical and non-technical teams by running training sessions and workshops that establish enterprise workflows with Replit.

• Design Systems: You build Design Systems and starter templates tailored to the customer’s stack to accelerate their internal development time.

• Drive Viral Growth: You build trust with key technical stakeholders, proactively running enablement sessions to keep teams building. You act as the spark for viral growth within the account.

• Source & Qualify Expansion: Work with Account Managers to proactively identify new teams, new use cases, and new projects. You provide the technical validation to support the commercial close.

• Run Value-Based QBRs: Co-lead quarterly business reviews, shifting the conversation to business value delivered and strategic roadmap alignment.

Required skills and experience:

• 5-7+ years in technical customer-facing roles such as Solutions Engineer, Sales Engineer, Implementation Engineer, Forward Deployed Engineer, Technical Account Manager, or Customer Success Engineer at a high-growth B2B SaaS or dev tools company

• Replit Power User: You understand Replit better than 99% of our users. You have likely built Replit apps before. To facilitate this, we provide interviewees with credits/access to the platform

• Enterprise Depth: You have worked with enterprise prospects to drive adoption, expansion, and renewal. You can explain complex technical concepts to non-technical executives and translate business requirements into technical architecture

• Live Builder: You've run POCs, onboarding sessions, and workshops. You can listen to vague requirements and translate them on the fly into technical concepts, creating live apps in real-time

• Production Engineering: You can read and write code (JavaScript, Python, or similar). You understand APIs, databases, CI/CD pipelines, and modern cloud architecture

• Pod Mentality: You thrive in a high-accountability POD structure

• Military Experience: Relevant military experience with technology is counted as background and experience

Comfort with up to 25% travel (expect 30%+)

Nice to have:

• Experience with AI-powered dev tools (Cursor, Windsurf, Lovable, Claude Code, Zapier etc.)

• Understanding of AI Evaluation patterns (Evals) and Context Management (RAG, System Prompts)

• Background in DevOps, cloud infrastructure (AWS/GCP/Azure), or SRE

Tools + Tech Stack for this role:

• Replit

• HubSpot CRM

• SSO/SAML/SCIM identity systems

• Cloud platforms (AWS, GCP, Azure)

• Slack

• Claude

• ChatGPT

• Gemini

• Notion

• Superhuman

• ZoomInfo

• Hex

This role may not be a fit if:

• You haven’t had your “Replit Moment”. You didn’t explore the product on your own, get mind-blown by the speed of creation, and immediately start showing your apps to friends and family

• You are uncomfortable building functional apps on the fly in front of executives or need a script to demonstrate value

• You prefer reactive troubleshooting over proactively identifying architectural blockers and owning the technical strategy

• You struggle to debug code, configure SSO, or understand cloud infrastructure without significant hand-holding

• You aren’t obsessed with how Agents are rewriting the SDLC, and you don’t use AI tools to build in your own spare time

• You struggle in ambiguous, high-growth environments where you often have to build the tool or process required to solve the problem

• You’re not comfortable with significant travel (up to 30%+) for customer meetings and on-site engagements

• You prefer transactional interactions over building deep, multi-year customer relationships

Full-Time Employee Benefits Include:

• Competitive Salary & Equity

• 401(k) Program with a 4% match

• Health, Dental, Vision and Life Insurance

• Short Term and Long Term Disability

• Paid Parental, Medical, Caregiver Leave

• Commuter Benefits

• Monthly Wellness Stipend

• Autonomous Work Environment

• In Office Set-Up Reimbursement

• Flexible Time Off (FTO) + Holidays

• Quarterly Team Gatherings

• In Office Amenities

Want to learn more about what we are up to?

• Meet the Replit Agent

• Replit: Make an app for that

• Replit Blog

• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles

• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people

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Compensation is determined based on career level, with the OTE for this role being between $150K – $250K. Offers Equity.

About the Role

As an Enterprise/Strategic Field Engineer (L5), you'll be the technical cornerstone for Replit's largest and most strategic accounts. This is a hybrid role: high-impact pre-sales (closing complex technical evaluations) and post-sales (driving adoption, expansion, and retention).

You'll partner with Account Executives and Account Managers in a high-accountability Pod structure. This is not a reactive support role,this is a proactive, strategic technical leader who identifies blockers before they become problems, champions new use cases, and directly influences $5M+ in annual recurring revenue.

Responsibilities

Pre-Sales

• Strategic Technical Discovery: When you are pulled into complex deals, you join as the expert closer. You run deep discovery on their stack and constraints, then design the winning technical strategy.

• Proof of Value (POV) & Live Building: You build live, functional applications on the fly during executive meetings to prove immediate value and technical feasibility to VPs and C-suite stakeholders.

• Context & Connectivity (MCP): You write and deploy Model Context Protocol (MCP) servers to securely connect Replit Agents to customer-specific data, making Replit the central hub for their internal development.

• Enterprise Governance: You own the "Guardrails" mission. You configure workspace policies and AI governance templates that solve for data safety, compliance, and CISO approval.

• Infrastructure Strategy: You lead deep-dive reviews for Single-Tenant/VPC deployments, ensuring Replit fits the customer’s security posture.

• Hackathons & Trials: You lead high-energy Hackathons alongside Account Executives to drive hands-on experience and excitement about Replit.

Post-Sales

• Production Foundation: You lead the technical kickoff, ensuring production-ready SSO/SCIM provisioning, guardrails, and security setup.

• Technical Onboarding & Enablement: You ensure customers learn how to build in Replit to its maximum capabilities. You enable technical and non-technical teams by running training sessions and workshops that establish enterprise workflows with Replit.

• Design Systems: You build Design Systems and starter templates tailored to the customer’s stack to accelerate their internal development time.

• Drive Viral Growth: You build trust with key technical stakeholders, proactively running enablement sessions to keep teams building. You act as the spark for viral growth within the account.

• Source & Qualify Expansion: Work with Account Managers to proactively identify new teams, new use cases, and new projects. You provide the technical validation to support the commercial close.

• Run Value-Based QBRs: Co-lead quarterly business reviews, shifting the conversation to business value delivered and strategic roadmap alignment.

Required skills and experience:

• 5-7+ years in technical customer-facing roles such as Solutions Engineer, Sales Engineer, Implementation Engineer, Forward Deployed Engineer, Technical Account Manager, or Customer Success Engineer at a high-growth B2B SaaS or dev tools company

• Replit Power User: You understand Replit better than 99% of our users. You have likely built Replit apps before. To facilitate this, we provide interviewees with credits/access to the platform

• Enterprise Depth: You have worked with enterprise prospects to drive adoption, expansion, and renewal. You can explain complex technical concepts to non-technical executives and translate business requirements into technical architecture

• Live Builder: You've run POCs, onboarding sessions, and workshops. You can listen to vague requirements and translate them on the fly into technical concepts, creating live apps in real-time

• Production Engineering: You can read and write code (JavaScript, Python, or similar). You understand APIs, databases, CI/CD pipelines, and modern cloud architecture

• Pod Mentality: You thrive in a high-accountability POD structure

• Military Experience: Relevant military experience with technology is counted as background and experience

Comfort with up to 25% travel (expect 30%+)

Nice to have:

• Experience with AI-powered dev tools (Cursor, Windsurf, Lovable, Claude Code, Zapier etc.)

• Understanding of AI Evaluation patterns (Evals) and Context Management (RAG, System Prompts)

• Background in DevOps, cloud infrastructure (AWS/GCP/Azure), or SRE

Tools + Tech Stack for this role:

• Replit

• HubSpot CRM

• SSO/SAML/SCIM identity systems

• Cloud platforms (AWS, GCP, Azure)

• Slack

• Claude

• ChatGPT

• Gemini

• Notion

• Superhuman

• ZoomInfo

• Hex

This role may not be a fit if:

• You haven't had your "Replit Moment". You didn't explore the product on your own, get mind-blown by the speed of creation, and immediately start showing your apps to friends and family

• You are uncomfortable building functional apps on the fly in front of executives or need a script to demonstrate value

• You prefer reactive troubleshooting over proactively identifying architectural blockers and owning the technical strategy

• You struggle to debug code, configure SSO, or understand cloud infrastructure without significant hand-holding

• You aren't obsessed with how Agents are rewriting the SDLC, and you don't use AI tools to build in your own spare time

• You struggle in ambiguous, high-growth environments where you often have to build the tool or process required to solve the problem

• You're not comfortable with significant travel (up to 30%+) for customer meetings and on-site engagements

• You prefer transactional interactions over building deep, multi-year customer relationships

Full-Time Employee Benefits Include:

• Competitive Salary & Equity

• 401(k) Program with a 4% match

• Health, Dental, Vision and Life Insurance

• Short Term and Long Term Disability

• Paid Parental, Medical, Caregiver Leave

• Commuter Benefits

• Monthly Wellness Stipend

• Autonomous Work Environment

• In Office Set-Up Reimbursement

• Flexible Time Off (FTO) + Holidays

• Quarterly Team Gatherings

• In Office Amenities

Want to learn more about what we are up to?

• Meet the Replit Agent

• Replit: Make an app for that

• Replit Blog

• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles

• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply.

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During your internship, you will gain hands-on experience in the Porsche working world and contribute to various projects and tasks, including:

• Implementing new logistics concepts
• Participating in the integration of a driverless transport system
• Supporting cloud transformation projects
• Optimising processes, including sustainability in logistics
• Preparing reports and maintaining documentation

To be eligible for this internship, you should have completed at least three semesters of study in a relevant field, such as logistics or production engineering. You should also have a good understanding of MS Office and experience with SAP, Celonis, or Power BI is desirable.

As a member of our team, you will have the opportunity to work on exciting projects and develop your skills in a dynamic and innovative environment. We offer a competitive salary and a range of benefits, including a comprehensive training program and opportunities for professional development.

If you are interested in this internship opportunity, please submit your application, including your CV, cover letter, and any relevant certificates or references. We look forward to hearing from you!

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Explore endless possibilities for your career. Search below by job category.

Co-op & Internship Program

Providing students with hands-on experience and exposure to Engineering and Business operations, and more.

Responsibilities

• Gain practical experience in various fields such as Engineering, Business, and more
• Develop skills and knowledge in a dynamic and supportive environment
• Collaborate with experienced professionals and peers to achieve common goals

Entry Level & Recent Graduates

Launching careers within immersive programs focusing on Accounting or Engineering; challenging projects, vast employee networks, and more.

Production, Technicians & Warehousing

Bringing Honda products to life through Assembly, Skilled Maintenance and Technicians, Parts Distribution, Materials Handling, and more.

Design & Engineering

Creating products that enhance mobility and daily lives through Creative Design, Engineering, and more.

Supply Chain

Delivering the goods that move our customers forward in Logistics, Distribution, Procurement, Warehousing, and more.

Manufacturing Engineering

Ensuring quality, safety, and reliability at every turn through Manufacturing, Process, Production engineering, and more.

Sales & Marketing

Putting customers at the center in Field, Operations, Advertising, Marketing, Product Planning, and more.

Information Technology

Creating new possibilities for a new future through Applications, Infrastructure, Systems, and more.

Corporate Operations

Fueling our operations in Accounting, Finance, Communications, HR, Legal, Credit Union, and more.

Your Journey Starts Here

Your career adventure with Honda begins when you apply. It's more than a process; it's your entry into a community where you'll flourish as part of Team Honda.

Explore a World of Benefits with Honda Total Rewards

Take care of what matters most. Honda offers medical, dental, and vision coverage designed to support you and your family at every stage.

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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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In this role, you will:

• Establish and lead the SRE / production engineering practice for the Common Services organization, including standards for reliability, incident management, and on-call, in partnership with the central Product Engineering organization.
• Develop an Operational Excellence strategy that focuses on not only improving system performance but also monitoring and reducing operational toil
• Partner with engineering and product teams to define SLOs, SLIs, and error budgets for critical Common Services, and ensure these become part of how teams plan and make tradeoffs.
• Own and improve the incident management lifecycle for Common Services, including on-call rotations, escalation paths, incident tooling, post-incident reviews, and follow-through on corrective actions.
• Drive the observability strategy (metrics, logs, traces, dashboards, alerts) for Common Services, ensuring we have actionable visibility into the health, performance, and capacity of key systems.
• Collaborate with engineering leads to design and review architectures for reliability, scalability, resilience, and operability, including failure modes, redundancy, and graceful degradation.
• Lead efforts to automate and harden operational workflows, including deployments, rollbacks, configuration management, change management, and routine maintenance tasks.
• Build strong, trust-based relationships with partner teams and stakeholders, becoming a go-to leader for production readiness and operational risk within Common Services.
• Hire, mentor, and develop SRE and production engineering talent, fostering a culture of continuous improvement, learning from incidents, and humane on-call.
• Partner with other SRE and production engineering leaders across CoreWeave to align on global practices, tools, and reliability goals, representing the needs and constraints of Common Services.

You will be responsible for defining the reliability strategy, processes, and standards for the Common Services portfolio and driving consistent, high-quality operational practices across multiple teams.

The base salary range for this role is $206,000 to $303,000.

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Training and deploying foundation models places unprecedented demands on our systems. You will define the technical strategy and build the core infrastructure that enables machine learning engineers and researchers to seamlessly train, evaluate, and iterate on large language models at Reddit scale.

• Drive GenAI Infrastructure Strategy: Propose, design, and lead the architecture of our next-generation LLM platform, significantly advancing our capabilities to support large-scale foundation models that serve millions of redditors.
• Design Resilient, Large-Scale Distributed Systems: Architect highly fault-tolerant training infrastructure capable of supporting multi-week, distributed workloads across massive GPU clusters.
• Build Self-Serve LLM Workflows: Design and implement robust, production-grade pipelines for LLM fine-tuning (e.g., SFT, RLHF/DPO).
• Develop Comprehensive Evaluation & Benchmarking Infrastructure: Treat model evaluation as a first-class platform capability.
• Architect Advanced Data Ingestion Pipelines: Extend our distributed data platforms to natively and efficiently handle the massive, multimodal datasets (text, image, video) required for modern GenAI workloads,

You will have 10+ years of work experience in a production software development environment or building complex distributed data systems, plus a degree in ML, Engineering, Computer Science, or a related discipline.

GenAI/LLM Infrastructure Expertise: Proven track record of designing and operating large-scale ML systems, specifically working with distributed training frameworks (e.g., FSDP, DeepSpeed, Megatron-LM) and LLM serving/inference optimization (e.g., vLLM, TensorRT-LLM).

Distributed Systems Mastery: Hands-on experience managing fault-tolerant, petabyte-scale distributed systems and multi-node/multi-GPU training clusters.

Advanced MLOps Knowledge: Deep understanding of modern ML orchestration, fine-tuning pipelines, and model evaluation methodologies.

GPU Experience: Hands-on practice with CUDA environments, GPU virtualization/containerization, and doing it all within Kubernetes.

Production Engineering Fundamentals: Hands-on experience with Kubernetes, Docker, and building production-quality, object-oriented code in Python and/or Go.

Strong focus on scalability, reliability, performance, and ease of use.

You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.

Strong organizational & communication skills.

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This role will be based in our Assembly department, working with a team who are responsible for building motorsport and performance OEM brake components. The role requires the candidate to build components manually, working at a consistent work rate, ensuring that components are built to spec with no quality defects and in a timely manner.

Key Competencies

• Previous Assembly skills, preferably gained from working in a motorsport environment
• Ability to understand how braking systems work
• Must be able to read English manufacturing specs
• Can use hand assembly tools (torque wrenches etc) and use measuring equipment
• Ideally, the candidate would have experience working with a production engineering team, assisting in creating build specifications.
• Minimum 5 years’ experience working in a similar environment.
• Good understanding of engineering materials.
• Gained a craft apprenticeship or a mechanical NVQ
• Good knowledge of fundamental engineering principles.

The Candidate

• Will be a team player, who is self-motivated and who can work independently.
• Flexible, shares knowledge with the Team and other departments.
• Good communication skills
• Excellent problem-solving skills
• Ability to work well under pressure.
• Meticulous attention to detail.
• Practical and a “hands-on” Technician who is able to build and strip components.

Additional Working Hours

Work overtime when required, weekend working etc.

Hours

Monday to Thursday: 08.00 – 17.00

Friday: 08.00 – 13.00

Rewards and Benefits

Competitive Salary

25 Days Annual Leave Plus Bank Holidays

Pension Contribution

Life Insurance

Eye Care Assistance

Cycle to Work Scheme

Company Events

Wellbeing Incentives

Enhanced Maternity and Paternity Pay

Online GP Service

Employee Assistance Package

Christmas Gifts

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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

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

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.

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 an empirical science, which has as much in common with physics and engineering as it does with computer science.

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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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You'll be part of our talent pool, and we'll reach out to you directly to discuss potential opportunities when they become available.

What you need

• Recent graduates or experienced professionals looking for a new challenge
• Career changers exploring new fields and roles

Why this matters

By joining our talent pool, you'll have the opportunity to work on exciting projects, expand your skillset, and grow in a supportive environment.

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