EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

The EA SPORTS NHL franchise is founded on passion and new ideas. Located in Vancouver, British Columbia, the team is composed of diverse talent dedicated to creating on-ice experiences that connect gamers around the world through play.

We're looking for a Systems Software Engineer or someone interested in expanding their knowledge in the Systems area. Our Systems Engineers maintain a broad view of the game and engine systems and look for ways to improve performance, utility, and capabilities to our players and workflow enhancements to our development team.

Responsibilities:

• Work with other engineers to integrate primary technologies and features in a massive codebase, merging modern and legacy designs across multiple hardware architectures.
• Improve memory, load times, and performance.
• Debug a range of defects in development environments.
• Look for ways to increase team efficiency through automation, tooling, or workflow enhancements.
• Contribute to core EA technologies to promote collaborative development efforts.
• Work with technical and non-technical co-workers to create practical designs that meet our players' expectations.
• Work together with a team of Systems engineers in a collaborative environment and report to a team lead.
• Support the team with technical issues and questions.
• Mentor other software engineering team members.

Qualifications:

• 5+ years of C++ development experience.
• Test, debug, and extend other software engineer's code.
• Knowledge of software engineering and architectural design.
• Understanding of memory management, file systems, multi-core processing, and performance.
• Experience with profiling tools to monitor and diagnose issues.
• Experience with build systems, pipelines, and source control.
• Experience with codebases supporting multiple compilers and architectures.
• Experience communicating and collaborating with external team members or teams.
• Bachelor's degree in computer science or related field, or equivalent training and professional experience.
• Experience integrating and maintaining large-scale systems and legacy codebases, covering multiple disciplines.
• Experience with multiple programming languages (Python, Lua, C#).
• Previous experience shipping console products.
• Experience with assembly.
• Experience in utilizing AI-assisted development tools (e.g. coding agents) to rapid prototype, accelerate execution and automate workflows, with the ability to critically review and validate AI-generated code.

Pay Transparency - North America

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

• British Columbia (depending on location e.g. Vancouver vs. Victoria) $122,300 - $170,700 CAD

Pay is just one part of the overall compensation at EA.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.

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EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

EA SPORTS NHL has revolutionized sports gaming for millions of players worldwide. We’ve pioneered award-winning creative technology and experiences to connect players to the speed, skill, and heart of the NHL.

The EA SPORTS NHL franchise is founded on passion and new ideas. Located in Vancouver, British Columbia, the team is composed of diverse talent dedicated to creating on-ice experiences that connect gamers around the world through play. If you're a creative pioneer with a passion for your craft, this will be more than a job. It’ll be what you love.

We're looking for a Systems Software Engineer or someone interested in expanding their knowledge in the Systems area. Our Systems Engineers maintain a broad view of the game and engine systems and look for ways to improve performance, utility, and capabilities to our players and workflow enhancements to our development team.

Your Responsibilities:

• Work with other engineers to integrate primary technologies and features in a massive codebase, merging modern and legacy designs across multiple hardware architectures.
• Improve memory, load times, and performance.
• Debug a range of defects in development environments.
• Look for ways to increase team efficiency through automation, tooling, or workflow enhancements.
• Contribute to core EA technologies to promote collaborative development efforts.
• Work with technical and non-technical co-workers to create practical designs that meet our players' expectations.
• Work together with a team of Systems engineers in a collaborative environment and report to a team lead.
• Support the team with technical issues and questions.

Your Qualifications:

• 3+ years of C++ development experience.
• Test, debug, and extend other software engineer's code.
• Knowledge of software engineering and architectural design.
• Understanding of memory management, file systems, multi-core processing, and performance.
• Experience with profiling tools to monitor and diagnose issues.
• Experience with build systems, pipelines, and source control.
• Experience with codebases supporting multiple compilers and architectures.
• Experience communicating and collaborating with external team members or teams.
• Bachelor's degree in computer science or related field, or equivalent training and professional experience.
• Experience integrating and maintaining large-scale systems and legacy codebases, covering multiple disciplines.
• Experience with multiple programming languages (Python, Lua, C#).
• Previous experience shipping console products.
• Experience with assembly.
• Experience in utilizing AI-assisted development tools (e.g. coding agents) to rapid prototype, accelerate execution and automate workflows, with the ability to critically review and validate AI-generated code.

Pay Transparency - North America

COMPENSATION AND BENEFITS

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES \* British Columbia (depending on location e.g. Vancouver vs. Victoria) $104,500 - $142,800 CAD

Pay is just one part of the overall compensation at EA.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and other incentive programs.

XML job scraping automation by YubHub

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The International engineering team's mission is to expand Robinhood's products globally and scale our platform to support millions of new customers in diverse markets. We build and maintain experiences across onboarding, funding, account setup, localized product experiences, growth incentives, and platform capabilities to operate in new jurisdictions.

Our engineering team partners closely with product, design, compliance, marketing teams, along with an array of platform engineering teams to launch new products and optimize user acquisition globally. We prioritize technical rigor, system reliability, and quick execution to deliver reliable products to our growing customer base.

Our culture is centered on clear communication, strong team partnership, and a commitment to helping people manage their financial lives!

As an Engineering Manager, you will lead a team of software developers to drive some of Robinhood’s most important international launch initiatives. You will be responsible for driving the architecture and execution required to launch crypto and other financial products in new regions, while shaping the reusable systems that make future launches faster, safer, and more scalable.

You will guide technical execution, review system architectures, and ensure our services remain highly performant and secure at scale. In this role, you will recruit, mentor, and support the career progression of engineers on your team.

You will work closely with product managers, compliance partners, and other team leads to define technical strategy and deliver features on schedule.

Your leadership will directly shape how we scale our platform and deliver a reliable financial experience to our global community!

This role is based in our New York, NY office, with in-person attendance expected 5 days per week.

What you’ll do

• Team Leadership & Development: Lead and support your team of developers, providing clear goals, regular feedback, and structured growth plans.
• Technical Strategy: Define technical direction and prioritize work with product managers and partner teams to scale our international products and systems.
• Architecture & Performance: Ensure backend services and localized products are designed for high availability, performance, and security.
• Talent Management: Manage hiring, onboarding, and performance evaluations for engineers on your team.
• Collaboration & Execution: Coordinate with product, design, and other engineering leads to deliver critical initiatives on schedule and meet defined business metrics.

What you bring

• Experience: 5+ years of software engineering experience, including at least 2 years of experience managing engineering teams.
• Product Shipping Experience: Proven experience leading collaborative teams across product, design, and engineering to ship complex products, including end-to-end management from concept to launch, and ensuring high-quality, reliable user experiences post-deployment.
• Systems Design: Experience designing and operating distributed systems with a focus on reliability, scalability, and performance.
• Project Delivery: Experience delivering complex technical projects from initial planning through execution and deployment.
• Communication: Ability to communicate clearly with both technical and business partners to explain technical decisions and trade-offs.
• Mentorship: Experience supporting team development through regular coaching, mentoring, and feedback.

Leadership expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.

The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones.

For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$230,000-$270,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)$203,000-$238,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$180,000-$211,000 USD

XML job scraping automation by YubHub

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The International engineering team's mission is to expand Robinhood's products globally and scale our platform to support millions of new customers in diverse markets. We build and maintain experiences across onboarding, funding, account setup, localized product experiences, growth incentives, and platform capabilities to operate in new jurisdictions.

Our engineering team partners closely with product, design, compliance, marketing teams, along with an array of platform engineering teams to launch new products and optimize user acquisition globally. We prioritize technical rigor, system reliability, and quick execution to deliver reliable products to our growing customer base.

Our culture is centered on clear communication, strong team partnership, and a commitment to helping people manage their financial lives!

As an Engineering Manager, you will lead a team of software developers to drive some of Robinhood’s most important international launch initiatives. You will be responsible for driving the architecture and execution required to launch crypto and other financial products in new regions, while shaping the reusable systems that make future launches faster, safer, and more scalable.

You will guide technical execution, review system architectures, and ensure our services remain highly performant and secure at scale. In this role, you will recruit, mentor, and support the career progression of engineers on your team.

You will work closely with product managers, compliance partners, and other team leads to define technical strategy and deliver features on schedule.

Your leadership will directly shape how we scale our platform and deliver a reliable financial experience to our global community!

This role is based in our Toronto, ON office, with in-person attendance expected 5 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.

What you’ll do

• Team Leadership & Development: Lead and support your team of developers, providing clear goals, regular feedback, and structured growth plans.
• Technical Strategy: Define technical direction and prioritize work with product managers and partner teams to scale our international products and systems.
• Architecture & Performance: Ensure backend services and localized products are designed for high availability, performance, and security.
• Talent Management: Manage hiring, onboarding, and performance evaluations for engineers on your team.
• Collaboration & Execution: Coordinate with product, design, and other engineering leads to deliver critical initiatives on schedule and meet defined business metrics.

What you bring

• Experience: 5+ years of software engineering experience, including at least 2 years of experience managing engineering teams.
• Product Shipping Experience: Proven experience leading collaborative teams across product, design, and engineering to ship complex products, including end-to-end management from concept to launch, and ensuring high-quality, reliable user experiences post-deployment.
• Systems Design: Experience designing and operating distributed systems with a focus on reliability, scalability, and performance.
• Project Delivery: Experience delivering complex technical projects from initial planning through execution and deployment.
• Communication: Ability to communicate clearly with both technical and business partners to explain technical decisions and trade-offs.
• Mentorship: Experience supporting team development through regular coaching, mentoring, and feedback.

Leadership expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.
• Monthly commuter stipend to help offset in-office commuting costs

XML job scraping automation by YubHub

As a Senior Customer Engineer at Cloudflare, you will play a crucial role in driving the technical go-to-market strategy. You will work closely with enterprise clients to understand their technical requirements and provide tailored solutions using Cloudflare's products and services.

Key Responsibilities

• Technical Validation: Partner with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure to fit-for-purpose Cloudflare architectures and bespoke solutions.
• Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer.
• Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth.
• Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders.
• AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks.
• Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources.

Requirements

• Fluency in English (written and spoken). Arabic is a plus.
• Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer.
• Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
• Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes.
• Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment.
• Technical Breadth: Depth in at least four of the technical areas: Internet fundamentals, Security, Performance, AI Proficiency, Coding/Scripting, Developer Platform Fluency.

Nice to Have

• Technical Enablement: Track record of creating and delivering technical enablement that accelerates customer adoption of complex platforms.
• Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
• Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
• Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups.

What We Offer

• Competitive salary
• Opportunity to work with a fast-growing company
• Collaborative and dynamic work environment

XML job scraping automation by YubHub

As a Senior Customer Engineer in Turkey, you will play a crucial role in driving the technical go-to-market strategy for Cloudflare. You will work closely with enterprise clients to guide them through the entire customer journey, from initial pre-sales technical validation to onboarding, deployment architecture, and full lifecycle expansion.

Key Responsibilities

• Technical Validation: Partner with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure to fit-for-purpose Cloudflare architectures and bespoke solutions.
• Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer.
• Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth.
• Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders.
• AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks.
• Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources.

Minimum Qualifications

• Fluency in English and Turkish (written and spoken).
• Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer.
• Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
• Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes.
• Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment.
• Technical Breadth: Depth in at least four of the technical areas: Internet fundamentals, Security, Performance, AI Proficiency, Coding/Scripting, Developer Platform Fluency.

Strongly Preferred Qualifications

• Technical Enablement: Track record of creating and delivering technical enablement that accelerates customer adoption of complex platforms.
• Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
• Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
• Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups.

Education

• Undergraduate or graduate degree in Computer Science, Engineering, or a related field.

Travel

• This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration.

Compensation

• This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets.

XML job scraping automation by YubHub

As a Senior Customer Engineer at Cloudflare, you will play a crucial role in driving the technical go-to-market strategy. You will work closely with enterprise clients to understand their technical requirements and provide tailored solutions using Cloudflare's products and services.

Key Responsibilities

• Technical Validation: Partner with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure to fit-for-purpose Cloudflare architectures and bespoke solutions.
• Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer.
• Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth.
• Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders.
• AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks.
• Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources.

Requirements

• Fluency in English and Arabic (written and spoken).
• Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer.
• Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
• Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes.
• Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment.
• Technical Breadth: Depth in at least four of the technical areas: Internet fundamentals, Security, Performance, AI Proficiency, Coding/Scripting, Developer Platform Fluency.

Nice to Have

• Technical Enablement: Track record of creating and delivering technical enablement that accelerates customer adoption of complex platforms.
• Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
• Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
• Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups.

Benefits

Cloudflare offers a range of benefits, including opportunities for professional growth and development, a dynamic and supportive work environment, and a commitment to diversity and inclusion.

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EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

Building on an incredible 30-year foundation, we're redefining football with EA SPORTS FC - a genre-leading ecosystem of interactive experiences, bringing a global community of football fans closer to The World's Game. Together, we're taking the largest football club in the world to new heights – and this is just the beginning!

With more opportunity than ever to innovate and create new, authentic experiences that bring joy, inclusivity, and immersion to fans everywhere, we invite you to join us as we pioneer the future of football with EA SPORTS FC, and welcome everyone to the club!

Reporting to the Lead Cinematics Designer, we are looking for an Associate Cinematics Designer to help create industry-leading real-time cinematics and presentation experiences for EA SPORTS FC. A Cinematics Designer is a filmmaker working in real time. They combine the art of storytelling, filmmaking, animation, and cinematography with the technical skills required to bring interactive experiences to life inside a modern game engine.

As an Associate Cinematics Designer, you will learn from experienced developers while helping build compelling in-game experiences across gameplay presentation, broadcast, celebrations, introductions, player journeys, and other cinematic moments. Working closely with Animation, Design, Art, Audio, Technical Art, Engineering, and Production, you'll assemble scenes, implement content, solve technical challenges, and develop the skills to become an expert in real-time interactive storytelling. This team works in a hybrid model from our Bucharest studio, with three days per week onsite.

This is an excellent opportunity for someone with strong artistic fundamentals who enjoys both creative storytelling and technical problem solving.

Responsibilities

• Support the implementation of real-time cinematic sequences and presentation experiences within the game engine.
• Assemble scenes using animation, cameras, characters, environments, lighting, visual effects, audio, and gameplay systems.
• Create camera work, composition, pacing, and visual storytelling under the guidance of senior team members.
• Assist with implementing gameplay and cinematic schematics using visual scripting and engine tools. Collaborate with Animation, Design, Art, Technical Art, Engineering, Audio, and Production to deliver polished player experiences.
• Debug implementation issues and iterate on content based on creative and technical feedback.
• Learn cinematic pipelines, workflows, tools, and best practices while contributing ideas that improve quality and efficiency.
• Help maintain a high level of polish, authenticity, and emotional impact across cinematic experiences.

Qualifications

• Degree or equivalent experience in Game Development (including experience using game engines), Animation, Film or a related discipline.
• Understanding of filmmaking fundamentals, including cinematography, composition, pacing, staging, and visual storytelling.
• Understanding of animation principles including acting, timing, weight, body mechanics, and performance.
• Passion for creating memorable player experiences through storytelling and presentation.

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

XML job scraping automation by YubHub

As a Customer Engineer at Cloudflare, you will be the core driver of our technical go-to-market strategy, a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value, guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion.

Key Responsibilities

• Technical Validation: Partner with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure to fit-for-purpose Cloudflare architectures and bespoke solutions.
• Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer.
• Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth.
• Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders.
• AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks.
• Education & Enablement: Partner with the Enablement Team to design, build, and govern technical resources.

Requirements

• Fluency in English and Turkish and/or Arabic (written and spoken).
• Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer.
• Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
• Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes.
• Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment.
• Technical Breadth: Depth in at least four of the technical areas: Internet fundamentals, Security, Performance, AI Proficiency, Coding/Scripting, Developer Platform Fluency.

Nice to Have

• Technical Enablement: Track record of creating and delivering technical enablement that accelerates customer adoption of complex platforms.
• Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
• Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
• Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups.

Benefits

Cloudflare offers a range of benefits, including opportunities for professional growth and development, a collaborative and dynamic work environment, and a commitment to diversity and inclusion.

XML job scraping automation by YubHub

As a Senior Customer Engineer, Majors - Southwest at Cloudflare, you will serve as a trusted technical advisor and primary architect of the customer journey, bridging the gap between technical strategy and business value.

Key Responsibilities

• Technical Validation: Partner with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure to fit-for-purpose Cloudflare architectures and bespoke solutions.
• Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer.
• Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth.
• Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders.
• AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks.
• Education & Enablement: Partner with the Enablement Team to design, build, and govern technical resources.

Requirements

• Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer.
• Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
• Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes.
• Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment.
• Technical Breadth: Depth in at least four of the technical areas: Internet fundamentals, Security, Performance, AI Proficiency, Coding/Scripting, Developer Platform Fluency.

Benefits

• Competitive base salary and variable compensation structure tied directly to successful execution of full-lifecycle commercial targets.
• Eligible to participate in Cloudflare's equity plan.
• Complete package of benefits and programs to support you and your family, including health & welfare benefits, financial benefits, and more.

XML job scraping automation by YubHub

You will bridge the gap between technical strategy and business value,guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion.

Key Responsibilities:

• Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure to fit-for-purpose Cloudflare architectures and bespoke solutions.
• Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer.
• Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth.
• Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders.
• AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks.
• Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources.

Minimum Qualifications:

• Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer.
• Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
• Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes.
• Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment.
• Technical Breadth: Depth in at least four of the technical areas: Internet fundamentals, Security, Performance, AI Proficiency, Coding/Scripting, Developer Platform Fluency.

Strongly Preferred Qualifications:

• Technical Enablement: Track record of creating and delivering technical enablement that accelerates customer adoption of complex platforms.
• Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
• Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
• Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups.

This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.

Cloudflare offers a complete package of benefits and programs to support you and your family.

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As an individual contributor, you will own projects from early exploration through launch, working closely with engineers, brand designers, marketers, and writers. You will bring strong visual judgment and UX thinking to the work, balancing user needs, business goals, and technical constraints while contributing to a cohesive experience across the site.

Responsibilities:

• Own design from concept through implementation, developing information architecture, user flows, wireframes, prototypes, and high-fidelity responsive designs.
• Translate complex product capabilities and business use cases into clear stories and compelling web experiences.
• Design product, solution, and campaign experiences that help business audiences discover, evaluate, and take action.
• Partner with engineers, brand designers, marketers, and writers to shape ideas, make thoughtful tradeoffs, and ship polished work.
• Evolve and apply our web design system, creating reusable patterns that support both consistency and expressive storytelling.
• Stay involved through implementation and design QA, paying close attention to accessibility, responsive behavior, interaction details, and performance.
• Use research, feedback, analytics, and experimentation to understand what works and improve experiences over time.

Requirements:

• Have a track record of shipping high-quality websites or web products, with a portfolio that demonstrates both visual craft and thoughtful UX decisions.
• Bring a strong eye for typography, layout, hierarchy, and interaction, and care about the details that make an experience feel cohesive.
• Think in systems and can turn complex content and information hierarchies into clear, intuitive experiences.
• Can move confidently from early concepts and prototypes to detailed designs, and partner closely with engineers to bring them to life.
• Work well across disciplines, communicate your reasoning clearly, and balance user needs with brand expression and business goals.
• Are comfortable with ambiguity, seek feedback, and take ownership of moving work forward.
• Are curious about OpenAI's mission and motivated to help people understand and use AI.

Compensation:

• $216K – $240K
• Offers Equity
• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees

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Stripe is a financial infrastructure platform for businesses. Millions of companies,from the world’s largest enterprises to the most ambitious startups,use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.

The Storage Abstractions (STAX) team builds the software layer through which Stripe services access stored data. We own the database SDKs that hundreds of Ruby and Java services use to read and write data safely, reliably, and efficiently without needing to understand the underlying database, routing, or operational complexity.

As a Staff Software Engineer on STAX, you will set technical direction and lead multi-year initiatives at the intersection of developer infrastructure, data access, and AI. You will work hands-on with engineers across Stripe to make storage access simpler, safer, and more interoperable, while helping product and infrastructure teams evolve their systems without fleet-wide migrations.

Responsibilities

• Set technical direction for Stripe’s storage-access and lead high-impact initiatives from strategy through delivery
• Evolve storage abstractions so service teams can use consistent and reliable capabilities across languages, API versions, and storage backends
• Design stable interfaces and guardrails that improve data correctness, reliability, observability, and performance by default
• Treat AI agents as customers by building agent-accessible SDKs, frameworks, and developer workflows that enable safe, effective use of storage infrastructure
• Partner with senior leaders, engineers, product teams, and core infrastructure teams to solve cross-organizational data architecture challenges
• Mentor engineers and raise the bar for technical design, execution, and operational excellence across the team

Requirements

• This is a Staff-level role so we're looking for 12+ years of professional software engineering experience and 5+ years leading technical strategy and delivery for complex, cross-team engineering initiatives
• Experience leading engineering team(s) working on API design, SDKs, abstractions, frameworks, or client libraries (e.g., building internal or external developer products)
• Experience designing reliable distributed systems with a focus on data correctness, performance, and safe evolution of critical infrastructure
• Work designing developer infrastructure for AI or agentic workflows and helping define a technical direction for their use
• Demonstrated customer-centricity, with a track record of deeply understanding user needs and obsessing over delivering simple, reliable experiences for internal or external customers
• Hands-on experience building infrastructure and products for internal or external customers
• Proven track record of delivering pragmatic solutions that accelerate business growth
• Ability to adjust conversations from high-level discussions to detailed coding
• Thrives on a high level of autonomy and responsibility
• Clear and persuasive writing and in-person communication
• Strong problem-solving skills, critical thinking, determination, and a growth mindset
• Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to a high level of psychological safety for all team members and partners
• Proficient in at least one of the programming languages (Java, Ruby, Python)

Preferred Qualifications

• Experience with MongoDB or other large-scale storage systems, such as DynamoDB, Elasticsearch, RocksDB, or relational databases
• Experience guiding adoption of a shared developer platform across a large internal engineering organization
• Experience developing observability and operational tooling that helps platform users diagnose and resolve issues
• Experience in financial technology or another environment where data correctness and reliability are especially important
• Experience influencing product and organizational decisions with senior leaders and broad stakeholder groups
• Experience leading partially remote and distributed teams
• Experience managing rigorous incident response processes and on-call rotations

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As a Backend Engineer on the Gitaly team, you'll help build a standalone product that provides reliable, secure, and fast access to Git repositories through application programming interfaces (APIs) and storage operations.

Your responsibilities will include:

• Owning moderately sized to complex technical initiatives from problem definition and proposal through implementation, rollout, monitoring, and operational follow-through.
• Acting as the directly responsible individual for projects by aligning stakeholders, communicating progress and trade-offs, identifying risks, and keeping execution moving with minimal guidance.
• Leading technical design for distributed storage, Git repository management, performance, reliability, and scalability problems, using data and benchmarking to guide decisions.
• Partnering with engineers and teams across GitLab to deliver cross-functional outcomes.
• Improving engineering practices through mentoring, documentation, knowledge sharing, design reviews, and constructive code reviews.
• Taking operational ownership of the systems you work on, including incident response, post-incident improvements, capacity and performance analysis, and customer escalations.

The ideal candidate will have:

• Significant professional experience building, debugging, and optimizing distributed or highly available software systems in large-scale production environments.
• Experience owning complex projects end to end, including technical design, execution, rollout, and operational support.
• Strong systems design skills and the ability to reason about performance, failure modes, consistency, concurrency, capacity, and observability.
• A track record of influencing technical decisions and working effectively with stakeholders across teams and disciplines.
• Experience mentoring engineers, improving team practices, and raising the quality of designs, code, testing, and documentation.
• Strong written and verbal communication skills, including the ability to explain complex technical concepts and make trade-offs clear.
• Professional experience with Go or another backend or systems language.
• Experience operating production systems, participating in incident response, and turning operational learnings into durable improvements.

The base salary range for this role is 272,000 - 408,000 PLN.

GitLab supports full-time employees with benefits, flexible paid time off, team member resource groups, equity compensation, and a growth and development fund.

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Potential NCG opportunities in this field include:

• IP and SoC Level Design and Verification (including multimedia IP)
• Custom SoC Design and Verification
• Networking Chip Design and Verification
• Architectural Power and Energy-Efficiency Modeling
• DFT
• Formal Verification
• Post-Silicon Validation

To be considered, you should:

• Be expected to graduate in 2027 with a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field
• Have course or internship experience related to areas such as digital systems, digital design, VLSI design, RTL design, chip blueprint, power and performance optimization, testbench creation, computer architecture, computer arithmetic, object-oriented programming, CMOS transistors, circuits, infrastructure development, architectural tradeoff analysis, power and noise analysis, silicon instrumentation and measurement, CAD and physical design methodologies, chop floorplan, power/clock distribution, packaging, P&R and timing closure, performance, verification, and emulation methodology
• Be familiar with hardware verification methodologies, particularly UVM (Universal Verification Methodology), and have a working knowledge of formal verification tools
• Possess fundamental knowledge of hardware and board-level design, such as power integrity (PI), signal integrity (SI), and PCB-level design

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Responsibilities:

• Define, design, develop and verify features of our bleeding-edge technology into our next-gen GPU chips or new SoCs platforms, collaborating with HW Arch/System engineers, SW fellow engineers, etc.

• Be heavily involved with the early modeling and simulation required to produce our world-class GPU chips.

• Follow the new GPU chips or SOC platforms all the way through the development process to the customer products that are used throughout the world.

• Be heavily involved with the early firmware, performance, power management, and all of system software required to produce our world-class products.

• Have multiple opportunities to collaborate and communicate effectively with teams across the globe.

Requirements:

• Currently new BS, MS or PhD degree in Computer Engineering, Computer Science, or related degree, or equivalent experience.

• Strong C programming, C++, low-level driver and x86, ARM or SOC system platform experience.

• Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals.

• Kernel experience with Linux, Android, Chrome, or Windows systems.

• Experience with complex system-level debugging is invaluable.

Preferred Qualifications:

• Background and strength with complex SOC, AI & GPU computing system architecture design is invaluable.

• Deep understanding of device drivers, memory management, SOC firmware, power management, and performance.

• Experience on big complex system-level SW build flow/maintenance/Open Source Project.

• Platform SW, System SW and Device SW stack understanding on x86, ARM, or SOC.

• Experience or outstanding delivery with embedded system, x86, ARM or SOC system SW, e.g.: RTOS, performance tuning or power management.

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We are seeking a Staff Product Manager to lead the Cloud Namespace product surface end-to-end for Temporal Cloud. In this role, you will ensure customers can provision, configure, operate, and evolve Namespaces safely and effectively over time. You will partner with engineering teams to deliver customer-facing capabilities and shape internal operational systems for namespace placement, provisioning, capacity management, and more.

Responsibilities

• Own the full Cloud Namespace lifecycle for an operator using Temporal Cloud: understanding workload needs, provisioning and management flows, defining the right configuration defaults and policies, updates-in-place, and safe deletion.
• Define and evolve differentiated Namespace offerings that are easy for customers to understand and trust.
• Own throughput and capacity management for Namespaces, including autoscaling, TRUs, reserved vs. elastic capacity, scheduling, visibility, limits, and quotas.
• Drive operational policy and features to deliver highly performant, reliable, and cost-effective service at massive multi-tenant scale.
• Define and own Namespace SLOs and SLAs, including instrumentation and customer-facing communication of performance and reliability expectations.
• Own the Namespace APIs & configuration used by customer automation, the Temporal Cloud UI, and other products and services.

Requirements

• Product leadership experience shipping and operating platform/infrastructure products, especially where reliability, performance, and cost tradeoffs matter.
• Strong systems thinking: ability to translate workload needs into tiering, pricing, policy, quotas/limits, and defaults that scale across many customers.
• Comfort partnering closely with engineering on technical topics like autoscaling, capacity planning, rolling deployment and placement logic, and resilience patterns.
• Experience defining and managing SLOs/SLAs and using metrics to drive product decisions and prioritization.
• Ability to build alignment across stakeholders and make clear, durable decisions in ambiguous environments.
• Clear written and verbal communication, including the ability to produce crisp PRDs, decision docs, and customer-facing explanations.

Nice to Haves

• Experience with multi-tenant systems, workload isolation, and “noisy neighbor” mitigation.
• Familiarity with API product design for long-lived resource lifecycle operations and safe evolution over time.
• Background working on placement, routing, data residency, or geo-distributed reliability problems.
• Experience building pricing/packaging inputs for tiered services in partnership with Finance/GTM.

Compensation

• The estimated salary range for this role is $185,000 - $260,000, based on experience and location.
• Additionally, this role is eligible to participate in Temporal's equity plan.

Benefits

• Unlimited PTO, 12 Holidays + 2 Floating Holidays
• 100% Premiums Coverage for Medical, Dental, and Vision
• AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available)
• Empower 401K Plan
• Additional Perks for Learning & Development, Lifestyle Spending, Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more!

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EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

Building on an incredible 30-year foundation, we're redefining football with EA SPORTS FC - a genre-leading ecosystem of interactive experiences, bringing a global community of football fans closer to The World's Game. Together, we're taking the largest football club in the world to new heights – and this is just the beginning!

With more opportunity than ever to innovate and create new, authentic experiences that bring joy, inclusivity, and immersion to fans everywhere, we invite you to join us as we pioneer the future of football with EA SPORTS FC, and welcome everyone to the club!

Reporting to the Lead Cinematics Designer, we are seeking a Cinematics Designer to help create industry-leading real-time cinematics and presentation experiences for EA SPORTS FC. A Cinematics Designer is a filmmaker working in real time. They understand the language of film, storytelling, animation, acting, and cinematography, and combine those creative disciplines with the technical expertise required to build compelling interactive experiences inside a game engine.

As a Cinematics Designer, you will own the implementation of real-time cinematic features from concept through final polish. Working closely with Animation, Design, Art, Audio, Technical Art, Engineering, and Production, you will assemble animation, cameras, characters, environments, lighting, visual effects, gameplay systems, and audio into immersive experiences that deliver authenticity, excitement, and emotional impact. This team works in a hybrid model from our Bucharest studio, with three days per week onsite.

Responsibilities:

• Own the implementation of real-time cinematic sequences and presentation experiences from concept through final polish.
• Assemble and integrate animation, cameras, environments, lighting, visual effects, gameplay systems, and audio into compelling player experiences.
• Create cinematic language through strong camera work, composition, pacing, staging, and visual storytelling.
• Implement gameplay and cinematic schematics using visual scripting and runtime systems.
• Collaborate closely with Animation, Design, Engineering, Technical Art, Audio, and Production to deliver high-quality interactive experiences.
• Work with Motion Capture, Animation, and Cinematics teams to ensure performances are faithfully translated into the game.
• Debug animation, camera, sequencing, and implementation issues while developing creative technical solutions.
• Contribute to improvements in cinematic pipelines, implementation workflows, documentation, and development tools.
• Help establish artistic and technical best practices across the Cinematics team.
• Contribute ideas that improve immersion, authenticity, presentation quality, and the overall player experience.

Qualifications:

• 2+ years of experience creating cinematics, animation, gameplay presentation, or scripted interactive experiences.
• Excellent understanding of filmmaking, cinematography, composition, pacing, editing, and visual storytelling.
• Strong understanding of animation principles including acting, performance, body mechanics, timing, and character movement.
• Experience implementing content within a modern real-time game engine.
• Strong technical problem-solving skills with the ability to diagnose and resolve complex implementation challenges.
• Experience collaborating effectively across multiple disciplines within game development.

Technical Skills:

• Experience working with modern game engines;
• Experience using visual scripting, node-based programming, gameplay schematics, or similar implementation workflows.
• Familiarity with DCC packages such as Maya or MotionBuilder.
• Working knowledge of source control systems such as Perforce.
• Experience using Jira or similar production tracking software.
• Comfortable partnering with engineers and technical artists to improve tools, workflows, and cinematic pipelines.

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Responsibilities:

• Own software and system architecture for next-generation DPU management, QoS, performance, telemetry, and observability features.
• Define end-to-end control and management flows across DOCA, host drivers, embedded firmware, BMC, management controllers and external management systems.
• Specify telemetry and observability requirements, including counters, logs, traces, events, health monitoring, debug data, and streaming telemetry.
• Define management interfaces and APIs for configuration, provisioning, lifecycle operations, diagnostics, and field serviceability.
• Write clear architecture specifications, interface definitions, flow diagrams, and design documents for software, firmware, and system teams.
• Partner with R&D teams to translate high-level architecture into implementable designs and guide features through development, validation, silicon bring-up, and production.
• Analyze system performance bottlenecks, interoperability issues, telemetry gaps, and customer-reported issues, then feed learnings into future architecture.
• Collaborate with system and cluster architects to ensure NIC/DPU features fit end-to-end AI datacenter and cloud networking designs.

Requirements:

• B.Sc. or M.Sc. in Computer Engineering, Computer Science, Electrical Engineering, or equivalent experience.
• 9+ years of experience in networking, system software, embedded software, firmware, or datacenter infrastructure.
• Proven experience in software architecture, or technical leadership roles.
• Deep understanding of networking concepts and protocols such as Ethernet, TCP/IP, RDMA/RoCE, congestion control, QoS, virtualization overlays, and traffic management.
• Strong background with DPUs, SmartNICs, or other high-performance networking devices.
• Experience with system management, provisioning, monitoring, telemetry, diagnostics, or lifecycle-management flows.
• Familiarity with management protocols and frameworks such as Redfish, PLDM, MCTP, IPMI, gNMI, SNMP, Netconf, REST, or gRPC-based APIs.
• Ability to lead cross-functional architecture discussions across software, firmware, hardware, validation, product, and customer-facing teams.
• Excellent written and verbal communication skills, including the ability to create clear architecture documents and present trade-offs.

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As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organisations.

Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion.

We’re looking for an Engineer to join the ML Platform team at Synthesia.

Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently. This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them.

We’re looking for a strong generalist with a systems mindset:

• someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice.
• this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments.

This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it.

What you’ll do

• Design and improve the platform systems that support model training, evaluation, and production serving.
• Build infrastructure and tooling that make ML workloads more reliable, scalable, and cost-efficient.
• Develop internal tools and workflows that are easy to operate both by humans and by agents.
• Work on the architecture behind how models are deployed, served, and operated across research and product environments.
• Improve how we schedule, monitor, and debug workloads running on GPUs and cloud infrastructure.
• Develop internal tools and abstractions and agentic systems that reduce operational overhead for researchers and engineers.
• Drive improvements across observability, automation, reliability, and developer experience.
• Collaborate closely with researchers and product engineers to understand pain points and turn them into robust platform capabilities.
• Contribute to technical direction and make pragmatic architectural tradeoffs as the platform grows.

You’ll thrive in this role if you have

• Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability.
• A systems mindset: you naturally think in terms of bottlenecks, failure modes, interfaces, resource usage, and long-term operability.
• Solid hands-on experience with cloud infrastructure, Linux, and infrastructure automation.
• Experience with Kubernetes and operating distributed workloads in production.
• Strong coding skills, ideally in Python or similar languages used for backend systems and tooling.
• Strong judgment around where automation adds leverage, and where human control and reliability matter most.
• Experience building internal platforms, developer tooling, or infrastructure abstractions used by other engineers.
• Comfort working in ambiguous environments and taking ownership of open-ended technical problems.
• A pragmatic approach: you care about solving the right problem well, not over-engineering.

Particularly relevant experience

• Operating ML infrastructure or model serving systems in production.
• Supporting research or data-intensive workloads.
• Working with GPU-based systems or other performance-sensitive infrastructure.
• Experience with observability and debugging in distributed systems.
• Familiarity with Terraform, Datadog, GitHub Actions, or similar tools.

Bonus points for

• Experience building agentic or LLM-powered internal tools.
• Experience with workflow orchestration systems such as Temporal.
• Experience working at the boundary between research and production engineering.
• Familiarity with performance optimization, scheduling, or resource allocation problems.
• Experience building lightweight product or developer-facing tools.

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As a Software Engineer on Anthropic's Web Platform team, you'll build the foundational layer for Claude.ai, our flagship consumer product. This involves designing and shipping shared components, evolving backend-for-frontend (BFF) APIs, and improving build, deploy, and observability systems.

Key responsibilities

• Improve developer velocity by reducing friction in build, deploy, and testing pipelines.
• Work on performance and reliability: identify and resolve latency issues, improve observability, and establish high standards.
• Design and build shared UI components, libraries, and abstractions for consistent and efficient shipping on web and mobile.
• Partner with product engineering teams to understand their needs and shape platform investments.
• Maintain and evolve documentation and tooling for a smooth platform experience.

Minimum qualifications

• Strong practical skills in modern web technologies (React, TypeScript) and experience with APIs serving frontend applications.
• A track record of building things that make other engineers more productive.
• Solid instincts around reliability, observability, and performance in production systems.
• Experience thriving in fast-paced, collaborative environments.

Preferred qualifications

• 5+ years of software engineering experience building shared platforms, developer tools, or infrastructure.
• Experience with shared component libraries, design systems, or reusable UI infrastructure.
• Knowledge of API design and client-server architecture patterns.
• Familiarity with performance optimization, latency reduction, CI/CD, and observability.

Logistics

• Annual Salary: $320,000-$405,000 USD
• Minimum education: Bachelor’s degree or equivalent.
• Required field of study: Relevant to the role.
• Location-based hybrid policy: 25% office time.
• Visa sponsorship: Available.

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As a Software Engineer on Anthropic's Web Platform team, you'll build the foundational layer for Claude.ai, our flagship consumer product. This involves designing and shipping shared components, evolving backend-for-frontend APIs, and improving build, deploy, and observability systems.

Key responsibilities

• Improve developer velocity by reducing friction in build, deploy, and testing pipelines
• Work on performance and reliability: identify and resolve latency issues, improve observability
• Design and build shared UI components, libraries, and abstractions for product teams
• Partner with product engineering teams to understand their needs and shape platform investments
• Maintain and evolve documentation and tooling for the platform

Minimum qualifications

• Strong practical skills in modern web technologies (React, TypeScript) and experience with APIs
• Track record of building things that make other engineers more productive
• Instincts around reliability, observability, and performance in production systems
• Experience working in fast-paced, collaborative environments

Preferred qualifications

• 5+ years of software engineering experience building shared platforms or infrastructure
• Experience with shared component libraries, design systems, or reusable UI infrastructure
• API design and client-server architecture patterns
• Performance optimization and latency reduction in production web applications
• CI/CD, build systems, and deployment automation
• Observability and monitoring

The annual compensation range for this role is $320,000-$405,000 USD.

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We are building an elite team of bold thinkers and sharp problem-solvers who are wired to make an impact. The Ops Platform organization develops internal platforms that replace repetitive manual processes with AI-driven systems. These tools support key areas such as Fraud Operations, Account Operations, Financial Crimes Operations, and Retirement Services.

As a Software Developer, you will design and build platforms that enable operational teams to investigate and resolve issues more quickly and accurately. You will work with large datasets and signals to create tooling that supports fraud investigation and other operational workflows. You will collaborate with data scientists and machine learning engineers to translate manual processes into automated systems. Your work will focus on improving system reliability, reducing operational effort, and increasing the speed at which new products and features can be supported across Robinhood's offerings.

Responsibilities

• Define technical direction and make architectural decisions for systems that support operational workflows across multiple product lines
• Build tools that process large datasets and generate insights to support fraud investigation and decision-making
• Work with data scientists and machine learning engineers to implement systems that automate manual review processes
• Design and develop AI-based applications that improve the speed and accuracy of operational tasks
• Contribute to system improvements that increase development velocity and reduce time required to launch new capabilities

Requirements

• Experience designing and scaling distributed systems with a focus on reliability and performance
• Experience building and operating applications that use large language models or similar AI systems in production environments
• Understanding of how to structure systems that manage model behavior and ensure consistent, reliable outputs
• Experience working with large-scale data pipelines and extracting meaningful insights from complex datasets
• Ability to translate business processes into technical solutions with clear milestones and measurable outcomes

Benefits

• Challenging, high-impact work to grow your career
• Performance-driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top-tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
• Lifestyle wallet - a highly flexible employer-paid benefits spending account for expenses beyond traditional benefits such as wellness, childcare, learning, and more
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more
• Exceptional office experience with catered meals, events, and comfortable workspaces
• Monthly commuter stipend to help offset in-office commuting costs

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As a Senior Software Engineer, you will design, implement, and ship features for the Temporal server. You will solve distributed systems challenges across various areas, make thoughtful engineering tradeoffs, partner with engineers and product managers, improve the reliability and operability of the server, participate in design discussions and code reviews, contribute to improving the developer experience, and mentor junior engineers.

To be successful in this role, you should have 5+ years of experience building and operating production distributed systems, strong fundamentals in distributed systems, concurrency, fault tolerance, scheduling, and performance. You should also have experience writing concurrent code in languages like Go or Java, building high-scale backend services, and designing and building backend APIs or platform services.

The estimated pay range for this role is $176,000 - $237,600, depending on experience and location. Additionally, this role is eligible to participate in Temporal's equity plan.

Benefits include unlimited PTO, 12 holidays + 2 floating holidays, 100% premiums coverage for medical, dental, and vision, AD&D, LT & ST disability, and life insurance, Empower 401K plan, and additional perks for learning & development, lifestyle spending, in-home office setup, professional memberships, WFH meals, internet stipend, and more!

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Responsibilities:

• Define, design, develop, and verify features for new SoCs platforms, collaborating with hardware engineers and fellow software engineers.
• Follow new SOC platforms through development to customer products used worldwide.
• Be heavily involved with early firmware, performance, power management, and system software required for world-class products.
• Collaborate and communicate effectively with teams across the globe.

Requirements:

• BS, MS, or PhD degree in Computer Engineering, Computer Science, or related degree, or equivalent experience.
• Strong C programming, C++, low-level driver, and SOC system platform experience.
• Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals.
• Kernel experience with Linux, Android, Chrome, or Windows systems.
• Experience with complex SOC system debugging.

Preferred qualifications:

• Background and strength with complex SOC, AI & GPU computing system architecture design.
• Deep understanding of SOC firmware, power management, and performance.
• Platform SW, System SW, and Device SW stack understanding on SOC.
• Experience or outstanding delivery with SOC system SW on Windows, e.g., WDDM, performance tuning, and power management.

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The ideal candidate will have a strong eye for detail, design sensibility, and cross-functional communication skills. You will work with TypeScript and React, creating fundamental design principles to help individuals around the company craft frontend experiences.

Responsibilities:

• Develop and maintain Palantir.com
• Build and ship Next.js microsites, from mocks through to production
• Establish and maintain the design system and shared components
• Advise designers and content creators on web, UX, accessibility, and SEO best practices
• Iterate with the Legal team on ongoing requirements
• Work with the Communications team to drive traffic with brand campaigns

Technologies:

• TypeScript and React with Next.js for frontend development
• Combination of open-source and internal technologies
• Fast content delivery
• Industry-standard build tooling, including GitHub and CircleCI

Requirements:

• 2+ years of experience with frontend design
• Web fundamentals: accessibility, performance, uptime, SEO
• Frontend proficiency: TypeScript, React, Next.js
• Design/visual competence: Figma fluency, ability to take mocks to production

Benefits:

• Medical, dental, and vision insurance
• Commuter benefits
• Take what you need paid time off
• 2 weeks paid time off built into the end of each year
• 10 paid holidays
• Supportive leave of absence program
• Paid leave for new parents and subsidized back-up care
• Fertility and family building benefits
• Stipend to help with expenses for new child
• 401k plan

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As a Staff Frontend Engineer, you will work with your team and product management to make insights from data simple. You will set the foundation for how we build robust, scalable, and delightful products.

Responsibilities:

• Design and ship reusable UI primitives and component patterns that behave consistently across consoles, enabling a write‑once, run‑anywhere model.
• Define application bootstrapping and cross‑surface navigation primitives that abstract console boundaries while enforcing correct AuthZ and routing.
• Deliver unified frontend data clients and service components.
• Create, deploy, test, and upgrade platform components that power complex frontend data exploration and visualization experiences.
• Provide reference patterns, templates, and tests that standardize portability, reduce rework, and accelerate delivery of cross-surface features.
• Partner with feature teams to land single‑console experiences and migrations on the platform (from pilot pages to scaled adoption).

Requirements:

• 10+ years of experience with HTML, CSS, and JavaScript/TypeScript
• Experience leading large multi-quarter efforts with a demonstrated customer or business impact
• Passion for user experience and design and an understanding of front-end architecture
• Comfortable working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)
• Familiarity with server-side web technologies is a plus
• Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security, and usability
• Experience building large-scale products

Benefits:

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Employee Assistance Program (EAP)
• Business travel accident insurance
• Mental wellness resources

Pay Range Transparency: The pay range(s) for this role is $181,000-$261,000 USD.

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• $295K – $445K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Training Runtime builds the distributed systems that power OpenAI's largest model training runs - most recently GPT-5.5! The Data Movement area owns the infrastructure that keeps training jobs supplied with the right data at the right time, and keeps model state moving safely and efficiently across large clusters.

Our work spans machine learning systems, distributed storage, high-throughput data loading, reliability engineering, and developer experience. Success means researchers can move quickly while training runs remain fast, reproducible, debuggable, and resilient at scale.

About the Role

We are looking for a deeply hands-on Technical Lead Manager to own datasets throughout our training infrastructure. This person will set the direction for how training jobs read data: the APIs, storage contracts, versioning model, benchmarks, debugging tools, and reliability guarantees that make data access consistent across current and future training frameworks.

You will begin as the primary technical owner for dataset reads, working directly in the code while aligning researchers, training framework owners, storage teams, and infrastructure partners around a durable platform. The problem is deceptively hard at frontier scale: make enormous, heterogeneous datasets easy to consume, fast to restart, correct across distributed workers, observable when something goes wrong, and flexible enough to support pretraining, reinforcement learning, and multimodal training.

In this role, you will

• Design and build a unified dataset read platform for multiple current and future training frameworks.

• Define dataset APIs, storage-format expectations, registration/versioning, and migration paths that make data access reproducible and maintainable.

• Build reliability into the read path, including stateful iteration, caching, fast restart, recovery, and clear operational contracts.

• Build terminal and web-based visualizers that let teams inspect text, multimodal, and reinforcement learning data late in the pipeline, where bugs are most visible.

• Write and review production code in core data loading, service, caching, and reliability paths.

• Partner with teams working on training frameworks, reinforcement learning, multimodal models, storage, runtime, and cluster infrastructure.

Over Time

The long-term goal is a team that owns fast, correct, scalable, and reliable in-cluster data movement for training: data that comes in, data that goes out, and data that moves around inside the cluster. After ramping on datasets, this role will expand to TLM ownership for broader data movement systems, including checkpoint loads/saves and snapshot transfers, while partnering closely with existing technical leads and adjacent infrastructure teams.

You might thrive in this role if you:

• Have built or owned dataset, data loading, storage, or distributed training infrastructure at large scale (e.g. [torch.utils.data](http://torch.utils.data/))

• Care equally about API design, debugging ergonomics, performance, and bit-level correctness.

• Understand the failure modes of large distributed training jobs and know how data systems can create or prevent them.

• Have experience with stateful iterators, checkpoint/restart semantics, caching, remote services, or high-throughput storage reads.

• Are comfortable working across Python and lower-level systems code; Rust or C++ experience is useful but not required.

• Have worked with multimodal, video, reinforcement learning, or pretraining data pipelines where small data bugs are expensive and hard to diagnose.

• Can lead through code and technical judgment before a team exists, and can later manage engineers without losing the hands-on edge.

• Obsess over developer experience by eliminating friction, such as manual preprocessing scripts and niche cluster-specific bugs, ensuring a reliable and efficient experience for researchers.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties may require travel to client sites, which may involve exposure to environments that pose health risks, such as COVID-19.

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We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

Training and customizing state-of-the-art AI models is one of the most demanding workloads in computing, and it sits at the heart of Databricks' Mosaic AI mission.

AI Runtime (AIR) is our managed platform for large-scale GPU training and fine-tuning. It gives customers on-demand access to fleets of the latest accelerators and a serverless experience that hides the complexity of provisioning, scheduling, and orchestrating multi-node jobs, with the resilience to keep training running for days or weeks across thousands of GPUs.

AIR powers the full spectrum of custom training, from fine-tuning open models to pre-training frontier-scale foundation models, for some of the most sophisticated AI teams in the world.

As a Senior Software Engineer for AI Runtime, you will play a critical role in building and scaling the systems that make large-scale training fast, reliable, and effortless.

You will drive the architecture and evolution of the managed GPU training stack, spanning scheduling and capacity, distributed training performance, fault tolerance, and the developer experience of launching and operating jobs at scale.

Beyond hands-on contributions to core systems, you will help shape the technical direction for AIR, mentor other engineers, partner across product, research, and platform teams, and contribute to the initiatives that expand the technical and business impact of custom training at Databricks.

The impact you will have:

• Drive the architecture and evolution of AIR's managed GPU training platform, delivering scalable, high-throughput, and resilient training across fleets that span thousands of accelerators.

• Solve the hardest problems in large-scale training, including multi-node orchestration, distributed parallelism strategies, GPU scheduling and dynamic routing, high-throughput data loading, and checkpoint and restore for very long-running jobs.

• Push GPU efficiency and training performance, raising utilization (such as model FLOPs utilization and end-to-end throughput) and lowering cost per training run across diverse model architectures and hardware generations.

• Build the resilience and observability foundations that keep multi-node jobs healthy, detecting and recovering from hardware and software failures with minimal disruption to customers.

• Partner with product, research, and platform teams to shape the APIs, CLI, and developer experience that make it easy to launch, monitor, and debug production training jobs.

• Lead end-to-end engineering efforts, from design through production rollout, holding a high bar for performance, correctness, and reliability.

• Make direct, high-impact contributions to the core systems behind AIR, and help bring up support for the latest accelerators and new regions as the fleet grows.

• Champion engineering excellence, mentor other engineers through design reviews and technical discussions, and contribute to Databricks' technical direction in AI training infrastructure.

What we look for:

• 5+ years of experience building and operating large-scale distributed systems, with experience in GPU training infrastructure, high-performance computing, or ML systems.

• Experience with distributed training frameworks (such as PyTorch, FSDP, DeepSpeed, or Megatron) and the parallelism strategies (data, tensor, pipeline, and sequence parallelism) used to train large models.

• Strong understanding of training resilience patterns, including checkpointing, failure detection, and automatic recovery for long-running, multi-node jobs.

• Solid grasp of GPU performance fundamentals, including accelerator architecture, high-speed interconnects (such as NVLink and InfiniBand or RoCE), collective communication, and the bottlenecks that govern training throughput and utilization.

• Experience building and operating managed, multi-tenant platform products in the cloud, with clear SLAs and SLOs for availability, performance, and reliability.

• Strong foundation in algorithms, data structures, and system design as applied to performance-sensitive, large-scale distributed systems.

• Proven ability to deliver technically complex, high-impact initiatives that create clear customer or business value.

• Strong communication skills and the ability to collaborate across product, research, and infrastructure teams in a fast-moving environment.

• Customer-focused mindset with the ability to align implementation details with product goals, and a passion for mentoring engineers and fostering technical excellence.

• BS in Computer Science or a related field (MS or PhD preferred).

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $160,000-$225,000 USD

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

As a Solutions Engineer, you will aid your customers and work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support to do so. Your goal of customer success should drive you through the entire organisation as you seek out and create scalable solutions for your customer’s needs.

The range of products and solutions offered by Cloudflare are broad so that we are able to meet our lofty goal of helping to build a better Internet. A broad knowledge of Internet performance and security technology is required, the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare.

All the resources and training required to be effective for the role, will be provided.

Examples Of Desirable Skills, Knowledge And Experience

Our Solutions Engineers come from a wide range of backgrounds: IT, engineering, software development, product management, financial consulting, customer support & project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with customers, and look forward to helping them realise the full promise of Cloudflare.

On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other. You will have a good fundamental understanding on how to obtain the technical win so that customers choose our proposed solutions over that of competitors.

Additional experience might include a combination of the skills below:

• 3-to-10 years of experience in the IT industry (early or mid-level experience).
• Fluent Hebrew and English (written & spoken).
• Ability to manage a project, work to deadlines, and prioritise between competing demands.
• Demonstrating empathy with customers and quickly identifying challenges and pain points they face.
• Understanding of “how the internet works”.

For example:

• Know the differences between TCP & UDP, and understand what kinds of applications may favour one over the other;
• Can explain the difference between authoritative DNS & recursive DNS?
• You understand the role of a firewall, why TLS (SSL) plays an increasingly important role on today's Internet, a solid understanding of HTTP and a willingness to dive deeper into the quirks of clients & servers alike;
• Understanding of how customers make buying decisions, how to explain ROI.
• A knowledge of the competitive landscape for one or more of: DDoS, CDN, Performance, DNS, Developer platform or Zero-Trust/SASE service providers.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organisations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for

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At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications.

Claude Design is the newest product from Anthropic Labs, the internal accelerator behind Claude Code and MCP. It lets anyone collaborate with Claude to create polished visual work: interactive prototypes, product mockups, slides, one-pagers, and marketing collateral.

We launched in research preview in April 2026, and the product is new enough that the engineers who join now will define what it becomes. We're looking for Software Engineers to help build and shape Claude Design.

This is a craft-heavy, frontend-leaning role: you'll create the canvas, real-time editing, design-system inference, and AI-driven generation experiences that make AI-generated design feel like a tool people reach for first– not a demo.

You'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, partnering directly with researchers and users, and helping to generate the crucial insights that shape where the product goes next.

Responsibilities

• Build and ship Claude Design's core surfaces (the design canvas, real-time editing, inline comments, and the live adjustment controls Claude generates), shipping early and often to maximize learning
• Collaborate closely with research teams to turn frontier vision and generation capabilities into intuitive, high-craft design experiences
• Work directly with designers, internal test users, and external partners to gather feedback, iterate quickly, and validate (or invalidate) product concepts
• Set technical direction for the hardest frontend problems: editor and canvas architecture, real-time collaboration, design-system inference, rich import/export, and performance as the product scales
• Design and run experiments to test product hypotheses, from prototype tests with users to evaluations of generation quality, balancing creative exploration with rigorous measurement
• Own the quality bar for how the product looks and feels, treating latency, responsiveness, and reliability as first-class concerns rather than afterthoughts, and advocate for user experience and design considerations early in the process
• Strengthen the handoff to Claude Code so designs translate cleanly into production, and feed insights back to research about model effectiveness and where capabilities can improve
• Operate as a technical leader on a small team: shape the roadmap alongside design and product, make pragmatic architecture decisions, and mentor engineers as the team grows

You may be a good fit if you

• Have 8+ years of experience building full-stack applications with deep frontend strength, and a track record of zero-to-one work in startup or startup-like environments
• Have set technical direction for a team or workstream and mentored other engineers, while staying hands-on in the code
• Have strong design sensibility and a high bar for craft; you sweat interaction details, motion, and polish
• Have strong technical skills across modern web stacks (React, TypeScript, Node.js, Python, Go, etc.), including complex client-side state, performance, APIs, databases, and cloud technologies
• Are comfortable working in a fast-moving environment where priorities shift and shipping quickly matters
• Are deeply user-centric: you enjoy validating ideas with actual users before over-investing and you talk about problems before solutions
• Hold strong opinions loosely: you advocate forcefully for ideas but change your mind based on evidence
• Are a generalist who can move comfortably between frontend, backend, and product problems as the work demands
• Work independently with good judgment about what matters, without needing constant direction
• Communicate effectively and translate complex AI capabilities into intuitive experiences
• Care about the societal impacts and ethics of your work

Strong candidates may also have

• Extensive experience working with or building visual collaboration & creative tools (e.g., Figma, Canva, Adobe Creative Cloud, etc), and have strong opinions on how they could become more magical experiences
• Hands-on experience with UI/UX for AI-powered applications, and fluency collaborating closely with designers
• Background conducting user research, interviews, and usability testing
• Deep frontend expertise in canvas rendering, complex editor UIs, design-system tooling, or graphics work (WebGL/shaders, 3D, animation)
• Experience with real-time, collaborative applications (multiplayer editing, WebSockets) or complex, high-performance frontend interactions

Candidates need not have

• 100% of the skills listed above
• Formal certifications or education credentials
• Direct machine learning or AI research experience

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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.

Compensation

The annual compensation range for this role is listed below. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $320,000-$485,000 USD

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At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications.

Claude Design is the newest product from Anthropic Labs, the internal accelerator behind Claude Code and MCP. It lets anyone collaborate with Claude to create polished visual work: interactive prototypes, product mockups, slides, one-pagers, and marketing collateral.

We launched in research preview in April 2026, and the product is new enough that the engineers who join now will define what it becomes. We're looking for Software Engineers to help build and shape Claude Design.

This is a craft-heavy, frontend-leaning role: you'll create the canvas, real-time editing, design-system inference, and AI-driven generation experiences that make AI-generated design feel like a tool people reach for first– not a demo.

You'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, partnering directly with researchers and users, and helping to generate the crucial insights that shape where the product goes next.

Responsibilities

• Build and ship Claude Design's core surfaces (the design canvas, real-time editing, inline comments, and the live adjustment controls Claude generates), shipping early and often to maximize learning
• Collaborate closely with research teams to turn frontier vision and generation capabilities into intuitive, high-craft design experiences
• Work directly with designers, internal test users, and external partners to gather feedback, iterate quickly, and validate (or invalidate) product concepts
• Set technical direction for the hardest frontend problems: editor and canvas architecture, real-time collaboration, design-system inference, rich import/export, and performance as the product scales
• Design and run experiments to test product hypotheses, from prototype tests with users to evaluations of generation quality, balancing creative exploration with rigorous measurement
• Own the quality bar for how the product looks and feels, treating latency, responsiveness, and reliability as first-class concerns rather than afterthoughts, and advocate for user experience and design considerations early in the process
• Strengthen the handoff to Claude Code so designs translate cleanly into production, and feed insights back to research about model effectiveness and where capabilities can improve
• Operate as a technical leader on a small team: shape the roadmap alongside design and product, make pragmatic architecture decisions, and mentor engineers as the team grows

You may be a good fit if you

• Have 8+ years of experience building full-stack applications with deep frontend strength, and a track record of zero-to-one work in startup or startup-like environments
• Have set technical direction for a team or workstream and mentored other engineers, while staying hands-on in the code
• Have strong design sensibility and a high bar for craft; you sweat interaction details, motion, and polish
• Have strong technical skills across modern web stacks (React, TypeScript, Node.js, Python, Go, etc.), including complex client-side state, performance, APIs, databases, and cloud technologies
• Are comfortable working in a fast-moving environment where priorities shift and shipping quickly matters
• Are deeply user-centric: you enjoy validating ideas with actual users before over-investing and you talk about problems before solutions
• Hold strong opinions loosely: you advocate forcefully for ideas but change your mind based on evidence
• Are a generalist who can move comfortably between frontend, backend, and product problems as the work demands
• Work independently with good judgment about what matters, without needing constant direction
• Communicate effectively and translate complex AI capabilities into intuitive experiences
• Care about the societal impacts and ethics of your work

Strong candidates may also have

• Extensive experience working with or building visual collaboration & creative tools (e.g., Figma, Canva, Adobe Creative Cloud, etc), and have strong opinions on how they could become more magical experiences
• Hands-on experience with UI/UX for AI-powered applications, and fluency collaborating closely with designers
• Background conducting user research, interviews, and usability testing
• Deep frontend expertise in canvas rendering, complex editor UIs, design-system tooling, or graphics work (WebGL/shaders, 3D, animation)
• Experience with real-time, collaborative applications (multiplayer editing, WebSockets) or complex, high-performance frontend interactions

Candidates need not have

• 100% of the skills listed above
• Formal certifications or education credentials
• Direct machine learning or AI research experience

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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.

Deadline to apply

None. Applications will be reviewed on a rolling basis.

Salary

The annual compensation range for this role is listed below. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $320,000-$485,000 USD

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Your primary focus will be on performing test case execution, debugging silicon issues related to correlation and functionality, generating high-quality results, and providing design feedback. You will also be responsible for finding creative solutions to sophisticated silicon and system-level problems, collaborating with cross-functional teams to craft essential next-generation product features, and developing power consumption models to be used in binning, productization, and customer application notes.

To succeed in this role, you will need to have a strong understanding of aspects related to silicon power and performance, technology node impacts, and hardware and software interactions at the system level. You should also have hands-on experience with silicon bring-up, validation, and productization, as well as good knowledge in board and system design considerations, power supply design.

In addition to your technical expertise, you will need to be a great teammate and ready to collaborate with global teams from diverse cultural backgrounds in a high-energy environment.

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$230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

AI Systems Engineer - Codex Core Agents

About The Team

The Codex Core Agents team builds the agent harness that turns model capability into real-world action. We own the systems around the model: prompting and interpreting model outputs, executing actions safely in real environments, and feeding production experience back into better models and better agent behavior.

This team sits close to research and works across the stack: harness, model interaction, inference, sandboxed execution, orchestration, evals, production reliability, and the performance envelope around tokens, latency, cost, capacity, and quality. The harness is open source and increasingly part of how models are trained and evaluated, making this one of the highest-leverage layers in Codex.

About The Role

We’re looking for engineers to build the AI systems that make Codex agents dependable in production. The ideal candidate is an agent-systems builder: hands-on across low-level systems and ML workflows, able to debug Codex behavior end to end across the harness, model behavior, inference/runtime stack, GPU fleet, and product surface.

You’ll work with research, infrastructure, and product to design agent harness capabilities, run experiments and ablations across the model + system prompt + harness stack, build frameworks for assessing production agent performance, and turn messy failures into durable improvements.

What You’ll Do

• Design and build the core agent harness and execution loop that lets Codex agents interpret model outputs, use tools, execute code, and complete long-horizon tasks safely.

• Build sandboxing, isolation, orchestration, state, and workflow infrastructure for agents operating in real development environments.

• Develop evaluation, experimentation, and debugging systems that distinguish harness issues, model behavior, inference/runtime issues, and product failures.

• Run ablations across prompts, model-facing interfaces, context construction, tool-use strategies, and harness behavior to improve solve rate, reliability, latency, and cost.

• Improve observability, profiling, and diagnostics across the agent stack, from backend systems to inference, GPUs, and fleet capacity.

• Work closely with research to make the harness trainable, measurable, and useful for improving frontier agentic models.

• Build shared primitives that make Codex faster, safer, more reliable, and easier for other teams and open-source users to build on.

You Might Be A Good Fit If You

• Have built or operated production systems in distributed systems, infrastructure, developer tooling, sandboxing, virtualization, cloud platforms, or ML systems.

• Enjoy working across layers: Rust systems code, Python configuration layers, APIs, agent orchestration, evals, logs/traces, inference behavior, runtime constraints, and user outcomes.

• Have hands-on experience with LLM applications, coding agents, evals, model deployment, inference, compiler/runtime performance, or developer platforms.

• Care deeply about reliability, safety, performance, debuggability, and clean abstractions.

• Can debug from evidence and move quickly from ambiguous production failures to practical, durable fixes.

• Want to work close to research while still shipping changes to production

• Still write meaningful code, show strong ownership, and can lead scoped or multi-team AI systems work.

Bonus Points

• Deep Rust, systems, sandboxing, isolation, or low-level platform experience.

• Experience with coding agents, agent harnesses, tool-using LLM systems, model evals, or post-training feedback loops.

• Background in compilers, kernels, runtimes, inference optimization, GPU systems, benchmarking, profiling, or performance engineering.

• Experience building production infrastructure used by many engineers or users under demanding reliability and security constraints.

• Open-source infrastructure or developer-platform work with strong taste for APIs and usability.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected

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Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster.

We are on a mission to be the reliable foundation of every developer’s toolbox, and are building the team that will make that happen. Our values guide us , they are present in how we show up, make decisions, and work together to make an impact. We’re curious, driven, collaborative, genuine and humble.

Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you!

Senior Software Engineer, Compute (Temporal Cloud)

Temporal powers durable execution for the world’s most demanding AI and enterprise systems. The Compute team at Temporal makes that durability feel effortless by building the managed compute primitives that run workers and other execution systems across Temporal Cloud.

We’re solving a hard platform problem: make compute transparent, elastic, safe-by-default, observable, and multi-cloud , without turning customers into infrastructure operators. We build platform primitives that span a variety of execution environments (e.g., serverless-style runtimes, containerized fleets, and customer-controlled deployments).

Our work sits at the intersection of control plane + data plane: scaling decisions, isolation boundaries, multi-tenant safety, and production-grade observability. If you’ve built autoscaling systems, multi-tenant platforms, or cloud infrastructure, you’ll find a lot to love here.

See the "Compute team" link to read more --> Compute team - [new window opens]

As part of this role, you will:

Invent

Create new managed compute primitives that feel first-class in Temporal Cloud: crisp abstractions, clean APIs, and an extension story across compute providers.

Design self-optimizing autoscaling systems (signals, backstops, debouncing, guardrails) that scale worker fleets safely and predictably.

Define the Open Source Server ↔ Cloud boundary for compute capabilities, keeping the architecture cohesive and maintainable.

Own

Architect, build, and operate services on the hot path of task execution where performance and correctness are customer-visible.

Deliver real-world cloud integrations (e.g., customer-account execution): IAM boundaries, secure credentials handling, networking constraints, quotas, and failure modes.

Make operability a feature: SLOs, tracing/metrics, load and failure testing, incident reviews, and continuous hardening.

Ship end-to-end: API design, rollout strategy, backwards compatibility, and long-term maintenance.

Teach

Raise the bar through design docs, strong reviews, pragmatic technical leadership, and mentorship.

Lead through influence across teams (Server, SDKs, Security, Control Plane) to land coherent platform changes.

What you bring

Significant experience building distributed systems or multi-tenant platform services (design, implementation, and production operations).

Strong systems fundamentals: concurrency, performance, reliability, and failure-mode thinking.

A record of shipping platform primitives used by other engineers/customers (APIs, control planes, data planes).

Comfort owning outcomes: SLOs, incident response, and improving on-call quality over time.

Excellent written communication and crisp tradeoff thinking. (Go experience is a plus; judgment matters most.)

Nice to have

Experience building cloud infrastructure platforms.

Experience with IAM/security boundaries for cross-account execution models.

Having built Kubernetes controllers / CRDs or heterogeneous worker fleet operations.

Compensation

The estimated pay range for this role is $176,000 - $237,600.

Additionally, this role is eligible to participate in Temporal's equity plan.

Compensation ranges reflect salary and commission compensation (when applicable) across several geographic markets. Employment offers carefully consider multiple factors, including prior experience, knowledge, expertise, skillset, market location, and job level assessed during the interview process.

Employee benefits and perks below are for full-time employees, part-time or temporary positions are excluded.

U.S. Benefits

Unlimited PTO, 12 Holidays + 2 Floating Holidays

100% Premiums Coverage for Medical, Dental, and Vision

AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available)

Empower 401K Plan

Additional Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more!

International Benefits

Paid Time Off (PTO) and Benefits outside the United States vary by country, and are issued in partnership with Remote.com.

Additionally, Temporal offers perks to all international employees for learning & career development, a lifestyle spending account, in-home office setup (in addition to company-issued hardware), professional memberships, work-from-home meals, and access to the Calm app for mental wellness.

Travel

Temporal is a globally distributed, collaborative team that values opportunities for in-person connection. Occasional travel may be required for company events, team offsites, and other meaningful moments that bring us together.

Additional Perks

$3,600 / Year Work from Home Meals

$1,800 / Year Professional Enrichment (Career Development & Professional Memberships)

$1,200 / Year Lifestyle Spending Account

$1,000 / Year In-Home Office Setup (In addition to Temporal issued equipment - laptop, monitor, keyboard, mouse, trackpad, and extension power cable at no cost to you)

$74 / Month Reimbursement for Internet

Calm App Subscription for Mental Health & Wellness

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You will be working at the intersection of design, developer experience, and platform architecture to help scale our services to the next order of magnitude. This includes architecting and building high-scale, low-latency distributed systems that power CoreWeave's identity, authentication and authorization services, designing and implementing customer-facing and internal APIs and backend services that underpin our IAM platform, and optimizing system performance to ensure that services remain highly available and performant under unpredictable load patterns.

You will collaborate cross-functionally with stakeholders across the business, including product managers, designers and TPMs, to shape the team's strategy and roadmap. You will also drive operational excellence by participating in on-call rotations and building automated tooling for monitoring, alerting, and incident response.

You will demonstrate and shape best-practices in software engineering by embracing AI for development, insisting on maintainable and testable code, and participating in thorough code reviews. You will work with incredible people in a supportive, iterative, high-trust, agile environment.

Requirements:

• Experience: Minimum of 5 years of professional experience developing, operating and maintaining backend services in a production environment
• Programming: Strong proficiency developing software in one or more of our preferred languages (Go, TypeScript, Python)
• Distributed systems: Knowledge of microservices architecture, RESTful/gRPC API design, and asynchronous messaging patterns
• Observability: Fluency with best practices in observability (logging, metrics, dashboards, alerting)
• Database design: Solid understanding of relational databases, schema design, and SQL
• Testing and quality: Strong commitment to automated testing (unit, integration, and E2E) and CI/CD pipelines
• Ownership: Demonstrated ownership of code quality, performance, and maintainability from development through production
• Security: Experience with authentication, authorization and security best practices
• Problem solving: A proven track record of debugging complex performance bottlenecks and distributed system failures in a production environment
• Communication: Excellent verbal and written communication skills, able to work effectively with both technical and non-technical team members

Preferred:

• Experience with Kubernetes and a conceptual understanding of its major components
• Experience building reliable and scalable platform services that process large amounts of data
• Experience developing identity products on top of standards including OIDC, OAuth2.0, SAML, and JWT
• Experience managing cloud infrastructure (AWS, GCP, etc.)
• Familiarity with Infrastructure-as-Code tools and practices

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At Cloudflare, we are on a mission to help build a better Internet. We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code.

Why This Role Matters

At Cloudflare, we're building industrial-scale AI agents that support customers directly. This isn't research theater. Your code will power real customer interactions from day one, at global scale.

Role Intent

Ship production agents on the Cloudflare stack. Build, deploy, learn, repeat. Your code is the front door for Cloudflare customers.

What You Will Do

• Build agents on Workers with Durable Objects for state and short term memory
• Wire tools with the Agent SDK, MCP, and function calling
• Use Vectorize, KV, R2, and D1 for semantic memory, cache, files, and config
• Run models through Workers AI and AI Gateway; integrate third parties when needed
• Create evals, guardrails, and audits. Measure, tune, re-ship fast
• Build agents that summarize, propose fixes, and escalate cleanly to humans
• Expose agent health and metrics in transparent dashboards. No mystery boxes
• Integrate with queues and webhooks; publish events on Queues or Pub/Sub
• Cut cost per case and time to first response. Prove it with data.
• Take end to end ownership including on call for what you ship (with team support)
• Design and maintain robust observability for distributed AI workflows, implementing structured logging and end-to-end tracing across async service boundaries to ensure visibility into agent reasoning and execution.
• Architect security boundaries for agent-led operations; implementing secure credential handling, multi-layer approval gates, and fine-grained trust scoping for mutative actions.

Must Have

• Demonstrated success shipping production systems. Repos and releases that show real work.
• Strong in TypeScript or Rust on Workers. HTTP, queues, async, performance
• Fluency with Durable Objects, KV or R2, and either D1 or Postgres
• Hands on with model tooling. Prompt I/O, tool calling, evals, safety checks
• Observability mindset. Logs, traces, metrics, redlines
• Experience with a2a/multi-agent frameworks
• Experience developing LLM evaluation frameworks; automated scoring systems, CI-integrated quality gates.

Nice to Have

• Workers AI, AI Gateway, and Vectorize in production
• Salesforce or Service Cloud experience. Webhooks and case APIs
• Security depth. Prompt injection protection, secrets detection, PII handling
• OSS agent frameworks. Know what to borrow and what to throw away.

How We Build

Align fast on what matters.

• Divide and conquer. Own your piece.
• Ship. Watch customers use it.
• Learn and repeat.

Why Join Cloudflare in India?

Impact at global scale: Your code will serve Cloudflare's customers across every region. Tens of millions of Internet properties depend on us.

• Work on the edge: Few companies give engineers the chance to build AI directly into an edge platform that runs in 300+ cities worldwide.
• Career growth: As one of the early engineers in our India based AI team, you'll have visibility, leadership opportunities, and a direct hand in shaping Cloudflare's AI roadmap.
• Culture of ownership: We believe in autonomy, accountability, and trust. Engineers here own outcomes, not just tickets.
• Learn and grow fast: Collaborate with peers across Support, Product, Security, and AI Platform teams. We encourage knowledge sharing, mentorship, and continuous learning.

Interview Signal

Expect to demonstrate your ability to:

• Build a mini agent on Workers using the Agent SDK
• Store session memory in Durable Objects
• Add semantic recall with Vectorize
• Ship behind a KV flag with traces and observability
• Push to production fast and take ownership

Team Mission

The Agent Tech team owns the end to end stack for customer facing agents on Cloudflare. Everything runs at the edge.

Core Stack:

• Workers
• Durable Objects
• KV
• R2
• D1
• Queues
• Pub/Sub
• Vectorize
• Workers AI
• AI Gateway
• Pages
• Zero Trust

Principles:

• Ship fast.
• Measure truth.
• Simplify relentlessly.
• Own outcomes.

Fraud Alert

Do not fall victim to recruitment fraud. Cloudflare never charges application fees or requires candidates to purchase third-party certifications or training as a condition of employment. All official communication comes strictly from @cloudflare.com email addresses.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo

Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project

In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1

We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by law.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a Senior Manager, Digital Native UKI, you will lead our UKI Digital Native sales team. We are seeking a highly experienced and talented Sales Leader with a proven track record of selling to digital-native companies, developers, start-ups and high-growth technology firms.

Key Responsibilities:

• Drive sales growth by developing and executing strategies tailored to digital-native companies and developer-focused organizations.

• Lead a sales team while fostering collaboration across supporting roles, including solution engineering, customer success, and field marketing.

• Expand the UKI Digital Native team by partnering with global functional leadership and recruiting resources to attract top talent.

• Apply and influence Cloudflare's sales methodology, driving best practices in technical selling, pipeline management, forecasting, and account strategy.

• Develop and execute market strategies specific to digital-native companies with distributed teams, global infrastructures, and high scalability needs.

• Represent Cloudflare as a trusted partner for developers and engineering leaders, ensuring our solutions align with their unique technical and business challenges.

• Ensure adherence to corporate policies and regulatory requirements across the sales organization.

• Lead regular business cadence activities, including forecast calls, deal reviews, account strategy discussions, and company-wide sales initiatives.

• Represent Cloudflare at industry conferences, developer-focused events, and external forums, strengthening our brand presence within the technology community.

Desired Skills, Knowledge, and Qualifications:

• Minimum 5 years of sales leadership experience, with a proven ability to scale high-performing teams selling to digital-native companies and developers.

• Experience in selling cloud, security, performance, and networking solutions to technology-first organizations.

• Strong understanding of developer ecosystems, cloud-native architectures, APIs, and DevOps workflows.

• Demonstrated ability to navigate technical sales cycles, working closely with engineering and product teams.

• Proven success in managing long-term enterprise sales cycles while also driving high-velocity sales motions.

• Track record of overachievement in sales leadership roles, with promotions reflecting consistent success.

• Experience in selling to technology sectors, including SaaS, FinTech, eCommerce, Media, and emerging digital industries.

• Strong grasp of network security concepts such as Zero Trust, SASE, and Internet performance optimization.

• Excellent interpersonal communication, organizational, and presentation skills, with the ability to engage both executives and technical stakeholders.

• Self-motivated, entrepreneurial mindset with the ability to thrive in a fast-paced, high-growth environment.

This is a unique opportunity to lead and scale a high-impact team focused on the future of the internet. If you are passionate about working with digital-native companies and the developer market, we'd love to hear from you.

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you'd like to be a part of? We'd love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software exports from the United States.

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Be a part of a globally renowned management consulting firm that is on the front-line of industry and digital disruption. We are a mid-size player with a supportive, entrepreneurial spirit that works with a market-leading brand in every sector, while our parent organization Infosys is a top-5 powerhouse IT brand that is outperforming the market and experiencing rapid growth.

Our consulting business is outgrowing the market and annually recognized as one of the top firms by Forbes due to our client innovations, our cultural diversity and dedicated training and career paths we offer to our consultants. We are committed to fostering an inclusive work culture that inspires everyone to deliver their best.

The Team

Our Communications, Media and Tech practice supports the largest and most recognizable global firms solve their biggest challenges in today’s age of constant disruption. With diverse services, ranging from strategy and advisory to large scale implementations and change initiates, from business change to operational transformation and leading-edge digital solutions, we help clients shape and achieve their growth agenda for a sustainable future.

The Role

To drive and grow our business specifically in High Tech and Semiconductor, we’d like to expand our team with an Associate Partner with below responsibilities:

• Provide leadership and direction to capture and sell transformation solutions and services to existing and new high tech and semiconductor clients.
• Accountability for consulting revenues and operating margins for the key account(s)
• Assume the role of trusted advisor to high tech and semiconductor client executives providing guidance in all matters within the industry and the client organization
• Manage the business opportunities at key accounts to help ensure Infosys Consulting is positioned to capitalise on opportunities by providing high-quality services.
• Be responsible for consistent delivery of services, solutions, and products on time and within cost on a best-value basis, and for developing processes that ensure business risks are evaluated, understood and factored into client solutions and services.
• Coordinate relationship-building activities with appropriate partners, engagement managers, subject-matter professionals, and other Infosys Consulting personnel on the engagement team(s) to help ensure they are well advised on important matters.
• Drive proposal development, focusing on the Infosys Consulting value proposition, key differentiators, and win themes.
• Provide leadership to subordinate managers, taking an active role in guiding their professional growth and development, through coaching, counselling, performance development and mentoring.

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Key responsibilities include:

• Leading design reviews and driving architecture within the team
• Defining and owning SLIs/SLOs and ensuring post-incident actions land and reliability improves release-over-release
• Implementing advanced optimizations such as micro-batch schedulers, speculative decoding, and KV-cache reuse
• Strengthening incident posture through capacity planning, autoscaling policy, and rollback/traffic-shift strategies
• Mentoring IC1/IC2 engineers and reviewing cross-team designs to elevate coding/testing standards

We're looking for someone with strong coding skills in Python or Go, deep familiarity with networked systems and performance, and hands-on experience with Kubernetes at production scale. If you have experience with inference internals, batching, caching, mixed precision, and streaming token delivery, that's a plus.

In addition to a competitive salary, we offer a range of benefits including medical, dental, and vision insurance, company-paid life insurance, and flexible PTO. We're committed to creating a work environment that's inclusive, diverse, and supportive of our employees' well-being.

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This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

Key Responsibilities:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure

Requirements:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights

Ideal Background:

• 8+ years of experience in software engineering roles
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organisations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field

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You will work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation.

Some representative projects include:

• Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters.
• Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models.
• Drive performance improvements across our stack through profiling, optimization, and benchmarking.
• Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research.

You may be a good fit if you:

• Are proficient in Python and async/concurrent programming with frameworks like Trio.
• Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX).
• Have industry experience in machine learning research.
• Can balance research exploration with engineering implementation.
• Enjoy pair programming (we love to pair!).
• Care about code quality, testing, and performance.
• Have strong systems design and communication skills.
• Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems.

Strong candidates may have:

• Familiarity with LLM architectures and training methodologies.
• Experience with reinforcement learning techniques and environments.
• Experience with virtualization and sandboxed code execution environments.
• Experience with Kubernetes.
• Experience with distributed systems or high-performance computing.
• Experience with Rust and/or C++.

Strong candidates need not have:

• Formal certifications or education credentials.
• Academic research experience or publication history.

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As an Engineer on the Client Infrastructure team at Cursor, you'll design and build the systems that make our desktop experience performant and stable for millions of developers.

You'll work across the core architecture of the Cursor client—from build and distribution systems to performance instrumentation and shared abstractions that other teams rely on. The work is deeply technical and central to the company's success. Developers expect near-perfect performance and reliability from their trusted tools; your work will make that possible.

Cursor's client is growing fast, spanning macOS, Windows, and Linux, and serving an increasingly diverse user base of professional engineers across many programming languages and developer ecosystems. You'll shape the systems that let us ship safely and quickly, while pushing the limits of what's possible in an AI-driven development environment.

Example projects include...

• Building core client infrastructure: shared abstractions, build systems, and observability foundations.

• Improving reliability and performance: eliminating memory leaks, crashes, and frame-time inconsistencies.

• Designing instrumentation and telemetry systems for profiling, structured logging, and performance measurement.

• Partnering with product teams to unlock faster release velocity—shipping updates to users daily.

• Evaluating Electron vs. native approaches for critical code paths, guiding architectural tradeoffs.

• Building internal tooling that enables other engineers to ship safely and quickly on the client platform.

You may be a fit if

• You have deep experience in client infrastructure—build systems, performance, distribution, or observability.

• You've built or contributed to high-performance desktop applications, whether Electron-based or native.

• You care deeply about performance, reliability, and developer experience, and have an eye for elegant systems design.

• You thrive in environments that are fast-moving, collaborative, and product-focused.

• You're excited to push the limits of what's possible in AI-driven developer tools.

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.

This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.

About the Role

We’re looking for an experienced Software Engineer to help build the core monetization and ads systems at OpenAI. This is a foundational role responsible for designing and implementing the infrastructure, APIs, and user-facing experiences that will power OpenAI’s next-generation monetization products—including ads.

You’ll work across the full technical stack to architect, build, and ship 0→1 systems that are robust, safe, and scalable. You will collaborate deeply with Product, Design, and Research to define the future of monetized AI experiences and ensure these systems meet OpenAI’s highest standards for safety, privacy, and policy alignment.

This role is exclusively based across our San Francisco and Seattle sites. We offer relocation assistance to new employees.

In this role, you will:

• Design, build, and scale the core infrastructure behind OpenAI’s monetization and ads products

• Develop advertiser-facing APIs and tools that enable the creation, management, and measurement of ads

• Build integrations with external partners and help create enterprise-grade monetization products

• Architect distributed systems and services that operate at massive scale with strong reliability, usability, privacy, and performance guarantees

• Work closely with Product, Research, and Design to translate product requirements into high-quality technical solutions

• Drive 0→1 product development through rapid prototyping, experimentation, and iterative deployment

• Contribute to technical strategy, propose new directions, and help shape the roadmap for monetization and ads platforms

• Maintain high engineering rigor through strong testing, documentation, and operational best practices

• Uphold the highest levels of safety, privacy, fairness, and policy compliance across all monetization systems

• Help continuously refine engineering processes, culture, and best practices within a fast-moving, multidisciplinary team

You might thrive in this role if you:

• Have 7+ years of experience building high-scale consumer, enterprise, or ads-related systems

• Have a track record of architecting and delivering complex distributed systems with high reliability and performance requirements

• Are comfortable navigating ambiguous product spaces and contributing to technical roadmaps and long-term direction

• Bring strong product intuition and enjoy collaborating deeply with Product, Design, and Research

• Thrive in 0→1 environments where systems, architecture, and user experiences must be defined from scratch

• Communicate clearly, think holistically, and make decisions rooted in both user needs and long-term sustainability

• Are motivated by building privacy-preserving, safe, and user-first monetization systems

• Bonus: Have experience in ads systems, marketing, or related fields

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s Applications Engineering organization builds and operates the products that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale.

About the Role

You will be a Senior iOS engineer on OpenAI’s Applied Foundations team, building the core mobile experiences that power how users sign up, manage their account, family features, pay for services, stay safe, and interact with OpenAI’s products with confidence. This role is about creating high-quality products as well as reusable iOS foundations that product teams across different OpenAI apps depend on to ship quickly while meeting the highest standards for security, reliability, and user trust. You’ll own complex client-side systems spanning UI, networking, local state, payment integrations and Apple platform integrations, and work closely with backend, product, and safety partners to shape the architecture that supports OpenAI’s mobile ecosystem at global scale.

In this role, you will:

• Build and ship new experiences on iOS that showcase the power of AI.

• Optimize app performance, reliability, and responsiveness at global scale.

• Design and maintain shared iOS frameworks and primitives for account, trust, and commerce flows that are used across OpenAI’s mobile apps.

• Establish robust testing frameworks and refine app architecture for long-term maintainability.

• Collaborate with product, design, research, and backend teams to deliver high-impact features.

• Provide technical leadership to shape the future of OpenAI’s iOS platform.

You might thrive in this role if you:

• Have 4+ years of professional software engineering experience.

• Have a proven track record of building high-quality iOS applications in production, especially for systems that need to be reliable and resilient at scale.

• Have owned complex, business-critical mobile systems end-to-end.

• Have experience making deep architectural tradeoffs on iOS.

• Are fluent in Swift and familiar with the Apple development ecosystem (Xcode, UIKit, SwiftUI).

• Care deeply about performance, security, and user experience.

• Enjoy working cross-functionally to bring ambitious product ideas to life.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.

This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.

About the Role

We’re looking for an experienced Software Engineer to help build the core infrastructure behind OpenAI’s monetization and ads systems. In this foundational role, you’ll architect and implement distributed systems that power OpenAI’s monetization stack—focusing on reliability, performance, privacy, and large-scale operation.

You’ll work across backend, systems, and platform layers to define and implement 0→1 infrastructure, partnering closely with Product, Design, and Research to shape the future of monetized AI experiences. Your work will enable both internal and external teams to build on safe, scalable, and robust monetization primitives.

This role is exclusively based across our San Francisco & Seattles sites. We offer relocation assistance to new employees.

In this role, you will:

• Design and build the foundational backend and infrastructure powering OpenAI’s monetization and ads systems

• Architect large-scale distributed systems that meet strict requirements for reliability, privacy, security, and performance

• Develop APIs, infrastructure services, and internal platforms that support ads creation, delivery, measurement, and optimization

• Work closely with Product, Research, and Design to translate requirements into scalable technical solutions

• Drive 0→1 infra development through rapid prototyping, experimentation, and iterative improvements

• Contribute to the long-term technical strategy and roadmap for the monetization infra stack

• Ensure high engineering rigor through excellent testing, documentation, observability, and operational best practices

• Build for safety, privacy, fairness, and policy alignment from first principles

• Collaborate across engineering orgs to ensure the infra layer is flexible, performant, and resilient

You might thrive in this role if you:

• Have 10+ years of experience building and operating large-scale distributed systems

• Have experience designing mission-critical systems with demanding reliability, performance, and correctness requirements

• Think in systems—architecture, data flows, operational concerns, observability, and long-term maintainability

• Are comfortable defining technical direction in ambiguous 0→1 environments

• Enjoy working cross-functionally to shape product requirements and system capabilities

• Communicate clearly, reason holistically, and make decisions grounded in user needs and long-term system health

• Bonus: Experience in ads systems, marketplaces, AI/ML infra, or other monetization-intensive domains

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through research and collaboration.

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Android Engineer, Applied Foundations

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s Applications Engineering organization builds and operates the products that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale.

About the Role

You will be a Senior Android engineer on OpenAI’s Applied Foundations team, building the core mobile experiences that power how users sign up, manage their account, family features, pay for services, stay safe, and interact with OpenAI’s products with confidence. This role is about creating high-quality products as well as reusable Android foundations that product teams across different OpenAI apps depend on to ship quickly while meeting the highest standards for security, reliability, and user trust. You’ll own complex client-side systems spanning UI, networking, local state, payment integrations and Apple platform integrations, and work closely with backend, product, and safety partners to shape the architecture that supports OpenAI’s mobile ecosystem at global scale.

You might thrive in this role if you:

• Have 4+ years of professional software engineering experience.

• Have a proven track record of building high-quality Android applications in production.

• Are fluent in Kotlin (and/or Java) and familiar with Android development tools and architecture components.

• Prioritize performance, security, and user experience in mobile development.

• Enjoy working cross-functionally to bring ambitious product ideas to life.

• Care deeply about performance, security, and user experience.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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What you'll do

You will work closely with experienced engineers to help design, build, and operate robust infrastructure and backend services that keep Perplexity fast, reliable, and scalable.

• Build and maintain infrastructure that supports high-performance search systems, with mentorship from senior engineers.
• Design internal tools and automation to improve developer workflows and operational efficiency.
• Support the design, deployment, and monitoring of cloud-native systems on AWS.
• Contribute to improving CI/CD pipelines, testing infrastructure, and release processes.
• Debug and optimize Linux-based services, containers, and backend systems.
• Contribute to product codebases, primarily using Rust, Go or C++.

What you need

• Working towards a degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Familiarity with at least one programming language such as Go, Rust, or C/C++, through coursework or projects.
• Basic understanding or exposure to cloud infrastructure (e.g. AWS) and Linux systems is a plus, not a requirement.
• Interest in infrastructure, distributed systems, or backend engineering, with willingness to learn about CI/CD, monitoring, and performance.
• A proactive and curious learner who enjoys collaborating in a fast-paced, innovative environment

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