At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

We're the only company offering three integrated solutions for frontier AI development:

• Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale

• Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models

• Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

• High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.

• Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.

• Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.

• Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.

• Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

Role Overview

We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end,from user-facing experiences and APIs to backend services, data models, and infrastructure.

You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.

Your Impact

• Own End-to-End Product Features

Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.

• Enable Human-in-the-Loop AI Training

Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.

• Support RLHF and Preference Data Workflows

Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.

• Leverage LLMs in the Review Loop

Build systems that use LLMs to assist human reviewers,such as automated checks, critiques, ranking suggestions, or quality signals,while maintaining human oversight.

• Advance AI Evaluation

Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).

• Create Intuitive, Reviewer-Focused Interfaces

Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.

• Architect Scalable Data & Service Layers

Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.

• Solve Ambiguous, Real-World Problems

Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.

• Ensure System Reliability

Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.

• Elevate the Team

Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.

What You Bring

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.

• 2+ years of experience in a software or machine learning engineering role.

• A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.

• Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.

• Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).

• Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.

• Excellent communication and collaboration skills.

• High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).

• Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.

Bonus Points

• Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.

• Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).

• Previous experience with search engines (e.g., ElasticSearch).

• Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.

Engineering at Labelbox

At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.

Our Technology Stack

Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:

• Frontend: React.js with Redux, TypeScript

• Backend: Node.js, TypeScript, Python, some Java & Kotlin

• APIs: GraphQL

• Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes

• Databases: MySQL, Spanner, PostgreSQL

• Queueing / Streaming: Kafka, PubSub

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Annual base salary range $130,000-$200,000 USD

Life at Labelbox

• Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

• Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

• Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

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You'll conduct hands-on penetration testing, lead red team engagements, and collaborate with blue team counterparts to validate and improve detection and response capabilities. Your work will directly influence how Stripe builds, ships, and secures financial infrastructure used by millions of businesses worldwide.

Responsibilities:

Conduct comprehensive penetration tests across web applications, APIs, cloud environments (AWS/GCP/Azure), mobile applications, and internal infrastructure.

Plan and execute red team engagements that emulate the TTPs of cyber and criminal threat actors targeting financial services, including initial access, lateral movement, persistence, and data exfiltration scenarios.

Perform assumed-breach and objective-based assessments to test detection and response capabilities in coordination with defensive teams.

Partner with detection engineering, threat intelligence, and incident response teams to validate security controls, identify coverage gaps, and improve detection fidelity.

Contribute adversary tradecraft insights to inform detection rule development, threat hunting hypotheses, and incident response playbooks.

Support incident investigations by providing offensive expertise, log analysis, and root cause analysis when required.

Design, develop, and maintain custom offensive tools, scripts, and automation frameworks to enhance assessment efficiency and coverage.

Build internal platforms and workflows that enable scalable, repeatable offensive operations.

Contribute to internal security tooling repositories and champion engineering best practices within the team.

Automate repetitive testing tasks, payload generation, and reporting workflows using modern development practices.

Produce clear, actionable reports that communicate technical findings, business risk, and remediation guidance to both technical and non-technical stakeholders.

Act as a subject-matter expert and primary point of contact for stakeholder teams engaged in offensive security programs and Stripe-wide security initiatives.

Lead offensive security projects end-to-end, mentor junior team members, and foster a culture of continuous learning and knowledge sharing.

Stay current with emerging threats, vulnerabilities, and attack techniques; share research internally and contribute to the broader security community.

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The ideal candidate will have a minimum of 7 years of experience in a software or infrastructure engineering industry, deep experience operating services in production and at scale, proficiency in Go as your primary programming language, strong experience with infrastructure-as-code, CI/CD systems (e.g., GitHub Actions, ArgoCD), and containerization (e.g., Docker, Kubernetes), expertise in leading scale system design, scalability, and efficiency, experience with third-party vendors like Artifactory, and passion for improving developer experience and enabling other engineers to do their best work.

In addition to the required skills, preferred skills include experience integrating or enabling tools that leverage LLMs or code intelligence for developers (e.g., GitHub Copilot, Cody, custom LLM integrations), experience with KubeVirt, KataContainers, and experience with LangGraph/LangChain.

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In this role, you will be responsible for designing and developing customizations, extensions, configurations, and integrations required to meet the company’s strategic business objectives. You will work collaboratively with Engineering Managers, business stakeholders, Product Owners, Program analysts, and engineers on different program design, development, deployment, and support.

Core competencies expected of a Staff Engineer include operating with a high degree of autonomy, technical leadership, and project ownership. This includes architectural ownership and design, project and delivery leadership, mentorship and technical bar-setting, cross-functional influence, and future-forward technical skills.

High-value skills include the ability to build Agents using Agentforce or by leveraging open source libraries to build agents, proficiency in using GitHub Copilot or Cursor or AI workflow orchestration tools, and strategic influence on technology roadmap.

Qualifications include 7+ years of software development experience with experience in Java, Python, or equivalent, 5+ years' hands-on Salesforce development with solid knowledge of Apex, Process Automation, and LWC, and experience in architecture, design, and implementation of various high-complexity projects/programs for Sales Cloud, CPQ, Service Cloud Console, etc.

Our team is collaborative, innovative, and flexible, and we consider work-life balance a top priority.

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As an engineer at Synopsys, you are detail-oriented and analytical, with a knack for problem-solving and troubleshooting. You approach challenges with a growth mindset, always seeking ways to optimize workflows and improve product performance. You value open communication, teamwork, and knowledge sharing, and you understand the importance of effective collaboration in a distributed environment.

Designing, implementing, testing, and maintaining photonics design workflows and software modules. Developing and supporting automated and AI-driven photonics simulation and optimization tools. Performing bug verification, release testing, and providing beta support for assigned products. Investigating and resolving issues identified by QA and product support teams. Assessing customer workflows, gathering requirements, and driving the design and prototyping of new methodologies and solutions. Documenting software features, workflow processes, and technical specifications for internal and external audiences.

Enabling the development of advanced photonics solutions that power next-generation technologies. Improving the efficiency and reliability of photonics design workflows for global customers. Accelerating innovation through the integration of AI-driven simulation and optimization tools. Enhancing product quality by contributing to thorough testing, bug resolution, and customer support. Driving customer satisfaction by tailoring solutions to meet specific workflow requirements. Supporting Synopsys’ leadership in the photonics industry through technical excellence and collaborative innovation.

Passion for photonics, optics, and software development. Bachelor’s degree in Electrical Engineering or Physics, with a focus on Photonics or Optics. Experience in photonic device/component design, including optimization and inverse design methodologies. Understanding of the photonics industry and exposure to the full design cycle (simulation, layout, tape-out, testing). Hands-on experience with photonics simulation tools (e.g., Lumerical FDTD/MODE/Multiphysics). Proficiency in Python programming for simulation control, data analysis, and workflow orchestration. Familiarity with AI tools (e.g., GitHub Copilot or similar) to accelerate coding and workflow development.

Analytical and detail-oriented, with strong problem-solving skills. Collaborative and communicative, able to work effectively in a geographically distributed team. Adaptable and eager to learn new technologies and methodologies. Proactive and self-motivated, with a drive for continuous improvement. Inclusive and open-minded, valuing diverse perspectives and teamwork.

Join a dynamic R&D group focused on pioneering photonics solutions at Synopsys. You’ll collaborate with engineers, scientists, and software developers across global locations, working together to advance photonics workflows and tools that empower our customers. Our team values innovation, knowledge sharing, and a supportive environment where every member’s ideas contribute to collective success.

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.

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

Comprehensive medical and healthcare plans that work for you and your family. In addition to company holidays, we have ETO and FTO Programs. Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more. Purchase Synopsys common stock at a 15% discount, with a 24 month look-back. Save for your future with our retirement plans that vary by region and country. Competitive salaries.

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Your responsibilities will include:

• Architecting and optimizing high-performance simulation kernels for the Synopsys VCS RTL simulator using advanced C++ techniques.
• Exploring and implementing GPU acceleration strategies with CUDA to significantly reduce simulation runtimes for customers.
• Leveraging deep knowledge of Verilog/SystemVerilog LRM to ensure accurate and reliable simulation across diverse design environments.
• Integrating AI-powered tools (such as Cursor, GitHub Copilot, and generative AI assistants) to automate code generation and debugging processes.
• Mentoring and guiding junior engineers, fostering skills development and technical growth within the team.
• Collaborating with distributed R&D teams to maintain Synopsys' leadership and drive innovation in the EDA industry.

As a senior staff engineer, you will have a significant impact on the company's success. You will be responsible for driving the evolution of the world's fastest Verilog simulator, setting new industry standards for performance and reliability. You will also empower customers to achieve greater productivity and efficiency through advanced simulation capabilities and reduced runtimes.

To be successful in this role, you will need to have:

• 8-10 years of relevant experience.
• Expert-level proficiency in C++ with proven experience in performance-critical software development.
• Deep understanding of Verilog/SystemVerilog Language Reference Manuals (LRM) and simulation methodologies.
• Hands-on experience with GPU programming, especially using CUDA for parallel acceleration.
• Familiarity with AI-powered development tools such as Cursor, GitHub Copilot, and generative AI assistants.
• Strong architectural design skills and ability to analyze and optimize complex software systems.
• Experience in mentoring and guiding junior engineers within an R&D environment.

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You'll join a highly skilled and fun team that values engineering excellence. We hold high standards in coding practices, security, performance, observability, and test coverage. If you enjoy building solutions that other engineers rely on - and shaping the engineering experience across an organisation - this is the place to do it.

About the Role

In this role, you will:

• Use your deep expertise in C# and .NET to build the core services, libraries, and tools that enable our engineering teams to deliver reliable, scalable products
• Collaborate closely with your squad, other engineering teams, and our architecture and product groups to design and evolve a robust, secure, and high-performing platform
• Champion engineering quality by producing consistent, maintainable, well-tested code
• Mentor and support less experienced engineers, helping them grow in both technical skill and engineering maturity
• Leverage modern AI-assisted development tools to accelerate delivery, improve code quality, support refactoring, and enhance design decision-making
• Help shape best practices for responsible AI usage within our engineering workflows

Requirements

• You're an experienced backend engineer with a proven track record at a senior level
• You bring advanced problem-solving ability and thrive in complex technical environments
• You'll have strong experience with:
• C# and .NET
• Containerization and deployment tooling: Docker, Kubernetes, Octopus Deploy, Azure Pipelines
• Cloud services: Microsoft Azure
• Modern delivery practices: CI/CD, Agile, automated testing
• AI-assisted code development: Using tools like GitHub Copilot or similar to enhance productivity, improve code quality, and support rapid prototyping
• A passion for building high-quality platform capabilities that other teams depend on

This is a hybrid role with a home and office-based split, requiring regular weekly (1 day per week) attendance in the Auckland office. We are only considering applicants with an existing right to work in New Zealand, without requiring employer sponsorship.

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We are seeking a skilled Validation / Verification Engineer to join our team at Synopsys. As a Staff Engineer, you will be responsible for conducting rigorous testing of Ansys applications, including Meshing in Workbench, Fluent-Meshing, and meshing capabilities for the Python ecosystem.

What You'll Be Doing:

• Conduct thorough testing of Ansys applications, including Meshing in Workbench, Fluent-Meshing, and meshing capabilities for the Python ecosystem.
• Analyze product requirements and develop comprehensive test plans for new features.
• Design, specify, and write new test cases; modify and update existing tests and maintain test scripts for automation and manual environments.
• Perform functional, application, regression, and performance testing in both manual and automated test environments.
• Lead testing initiatives by providing coverage analysis, testing metrics, and participating actively in defect management processes.
• Identify and investigate product defects, collaborating with developers to resolve issues efficiently.
• Operate across diverse computing environments, including Windows, Linux, virtual machines, compute clusters, and cloud infrastructure.

The Impact You Will Have:

• Enhance product reliability and performance, directly influencing customer satisfaction and trust.
• Drive continuous improvement in testing methodologies, ensuring robust coverage and high-quality releases.
• Accelerate validation workflows through automation and advanced scripting, contributing to faster and more efficient development cycles.
• Facilitate seamless integration of new features by proactively identifying and resolving issues.
• Support Synopsys' commitment to innovation by ensuring our products consistently meet industry-leading standards.
• Empower cross-functional teams with actionable insights from testing metrics and defect analysis.
• Champion the voice of the customer, ensuring that usability and functionality align with real-world needs.

What You'll Need:

• Bachelor's degree in Mechanical, Civil, or Aerospace Engineering and 5 years related experience, or Master's degree with 3 years related experience.
• Expertise in meshing technologies for implicit and explicit finite element analysis (FEA) and/or Computational Fluid Dynamics (CFD).
• Advanced proficiency in programming and scripting languages, especially Python.
• Experience with software development, testing processes, and automation tools; proven use of GitHub Copilot to streamline test script development.
• Strong familiarity with Windows and Linux operating systems, including virtualized and cloud environments.
• Commercial experience with meshing and solver products (e.g., Workbench Meshing, Fluent-Meshing, Fluent, CFX, Ansys Mechanical, Ansys LS-Dyna) is highly desirable.

Who You Are:

• Meticulous and thorough, with a keen eye for detail and a passion for quality assurance.
• Excellent communicator and collaborator, able to build strong relationships across teams and disciplines.
• Quick learner, adaptable, and able to thrive in dynamic, geographically distributed teams.
• Problem solver with strong planning skills and a proactive approach to overcoming challenges.
• Genuine enthusiasm for delivering high-quality, reliable software to customers.

The Team You'll Be A Part Of:

You will join the Meshing Development Unit (MDU), a dynamic team dedicated to advancing the application capabilities. The team focuses on developing and validating cutting-edge meshing technologies, collaborating closely with product creation, development, and support specialists. Together, you'll ensure the products meet the evolving needs of customers in engineering and simulation fields, driving innovation and excellence in software quality.

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’ll work closely with Product Managers, Designers, and Backend Engineers to ship end-to-end features, influence architecture decisions, and raise the quality bar across the team.

Responsibilities:

Lead design and delivery of complex, scalable AI features ensuring resilience and exceptional user experience.

Own user-facing features end-to-end: requirements, technical design, implementation, testing, and rollout.

Collaborate closely with PMs and designers to translate product vision into intuitive UI.

Drive architecture decisions, including performance, accessibility, and maintainability.

Raise the bar with design and code reviews to ensure high engineering standards.

Mentor and support other engineers through code reviews and technical guidance.

Partner with backend and data teams to build cohesive, scalable solutions.

Proactively seek new knowledge and adapt to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Make AI part of engineering workflow by using tools like Github Copilot Pro and Claude Code thoughtfully to accelerate implementation, refactoring and test creation.

Qualifications:

Required Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

5+ years of experience building production web applications

Solid expertise in JavaScript / TypeScript, React, HTML, and CSS.

Solid understanding of web performance, accessibility, and cross-browser compatibility.

Solid problem-solving skills and ability to work independently.

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What you'll do

Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences' goals. You will:

• Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation
• Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency
• Collaborate EA Experiences teams to understand their business, processes, opportunities, and challenges.
• Identify opportunities for developing creative AI solutions that enable our teams to focus on creative and innovative work that keeps our fans at the center of what we do
• Be an AI evangelist, promoting the use of AI as a force-multiplier

What you need

• 4+ years experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices
• Excellent Python development skills are required, C#, JavaScript, HTML, and CSS are strongly preferred
• Experience using agentic AI software engineering solutions such as Cursor, GitHub CoPilot, or Claude Code
• Extensive experience engineering AI solutions and excellent working knowledge of:
• Prompt and context engineering
• AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP)
• AI assistants, RAG, embeddings, and vector databases
• Model tuning, evaluation, benchmarking, and guardrails
• An excellent understanding of architecture, design principles, and cloud services, such as:
• AWS (Azure, and GCP cloud services are optional)
• Enterprise architecture and microservices design
• Observability and telemetry
• Infrastructure as code and CI/CD
• Data science experience is beneficial
• Content production (e.g. marketing) is strongly beneficial
• Experience navigating the legal, ethical, and security implications for AI
• Thrive working both collaboratively and independently
• Excellent creative, critical thinking, and problem solving skills
• Enjoy and prioritize continual learning- and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences
• Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level
• Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial
• Experience with game engines is beneficial (Unity, Unreal)

Why this matters

This role is a key part of our EA Experiences team, and will help us to create innovative AI solutions that keep our fans at the center of everything we do. As an AI Solutions Engineer, you will be working closely with teams across EA Experiences to develop and implement cutting-edge AI solutions that provide increased efficiency and help our teams focus on what matters most, our fans.

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What you'll do

• Designing and developing virtual prototypes (simulation models) for advanced SoC, MCU, and ECU platforms across automotive, datacentre, AI, and mobile applications.
• Modeling, integrating, and testing various peripherals using SystemC-based platform modeling frameworks.
• Collaborating with stakeholders to define IP modeling requirements and creating ESL (Electronic System Level) model specifications.
• Driving effective closure of technical issues, ensuring high-quality deliverables and alignment with project goals.
• Guiding and mentoring junior engineers and consultants in system-level platform creation, validation, and software bring-up activities.
• Engaging in early software development and testing use cases, including bringing up Linux, Android, AutoSAR, and embedded software applications.
• Contributing to the continuous improvement of virtual prototyping methodologies, tools, and workflows.

What you need

• Strong proficiency in C/C++ programming languages.
• Extensive experience in modeling and integrating SoC peripherals using C/C++, SystemC, or HDL.
• Solid problem-solving skills with the ability to analyze and resolve complex technical challenges.
• Experience developing applications in assembly or higher-level languages.
• Understanding of SoC architectures and serial bus protocols such as CAN, LIN, SPI, and I2C.
• Hands-on experience with Synopsys Virtualizer tool (preferred).
• Knowledge of multi-core platform development and GitHub Copilot/Curson-assisted flows (preferred).

Why this matters

• Accelerate early software development and validation cycles for Synopsys' customers by delivering high-fidelity virtual prototypes.
• Enable faster time-to-market for next-generation automotive, datacentre, AI, and mobile products through robust simulation models.
• Enhance the quality and reliability of software and hardware integration by facilitating early testing and debugging.
• Drive innovation in system-level modeling and contribute to the evolution of Synopsys' virtual prototyping solutions.
• Support customer engagements and success stories by providing expert technical guidance and troubleshooting.
• Mentor and develop the next generation of engineering talent within the team and broader organization.

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What you'll do

• Develop AI-based foundations and services that allow the Frostbite community to benefit from agentic developer workflows.
• Provide secure and scalable solutions for all stages of the software development lifecycle, including spec-driven coding, validation and releasing.
• Pilot new AI capabilities to assess their impact on developer efficiency and quality.

What you need

• 4+ years of job experience in a hands-on coding role using languages like Python, C# or C++.
• 1+ years of experience using generative AI software engineering solutions such as GitHub CoPilot.
• Proficiency in good development practices (version control, code reviews) and validation (static code analysis, unit testing, CI/CD pipelines).

Why this matters

This role is a key part of Electronic Arts' efforts to transform software engineering and quality processes with the power of generative AI, agents and context engineering. By contributing to this work, you will have a direct impact on the quality and efficiency of game development at Electronic Arts.

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