Disability Jobs

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Production Engineering team focuses on end-to-end reliability, durability, scalability, and performance of Figma products and services. We’re looking for an experienced Engineer to scale and drive the initiatives and programs that support Figma’s production engineering efforts, allowing our product teams to rapidly deliver new features. This is a critical part of success for both our ability to build new products and features, support the growth of our user base, and enable innovation for all engineering (infrastructure and product teams, alike). We’re looking for a generalist with a strong grasp of Computer Science fundamentals. The ideal candidate will have experience building and running complex large scale services. Additionally, they will have a passion for building tools that simplify operating large-scale infrastructure and for improving the operational maturity of Figma. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Work closely with the engineering team to define standard methodologies and goals around reliability, durability, scalability, and performance Address common operational challenges through better telemetry and by building tools / services Debug production issues across services and levels of the stack Participate in design reviews and production reviews for new features, products or infrastructure components Plan for the growth of Figma’s infrastructure Operate and maintain AWS Infr

The following description is not intended as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Management retains the discretion of adding or changing the duties of the position at any time. Please see the job descriptions below: Engineer Project Manager Key Responsibilities Lead mechanical engineering projects from concept to mass production, focusing on metal and enclosure components. Collaborate with design, manufacturing, and supply chain teams to optimize mechanical structures for cost, durability, and manufacturability. Work with suppliers and factories to ensure quality control, material selection, and efficient production processes. Define mechanical specifications, drawings, and documentation for enclosure components, ensuring compliance with manufacturing and industry standards. Engage with customers to understand technical requirements and translate them into feasible engineering and manufacturing solutions. Support business development efforts by providing technical expertise in client meetings, proposals, and product demonstrations. Work closely with sales and procurement teams to define competitive pricing strategies based on material costs, production feasibility, and market trends. Identify new business opportunities by staying up to date with industry trends in metal and enclosure technologies. Act as a liaison between customers, internal teams, and contract manufacturers to align project goals and expectations. Conduct DFM (Design for Manufacturability) and DFA (Design for Assembly) and CAD reviews to streamline production and reduce costs. Support new product introduction (NPI) and factory ramp-up, troubleshooting mechanical or assembly issues. Optimize metal forming, CNC machining, die-casting, and surface treatment processes to enhance quality and efficiency. Qualifications: Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or a related field. 5+ years of ex

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java, Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: 6+ years of experience You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. Datadog values peo

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As the Logistics Security Program Manager for EMEA, this role is an essential part of Micron’s Global Security team. The person leads the management and continuous refinement of the company’s important logistics security efforts across the EMEA area. This position serves as the regional authority, advancing risk-focused security methods that protect high-value shipments, improve supply chain durability, and lower transportation security risks in intricate multimodal logistics networks. As a senior individual contributor, the Logistics Security Program Manager takes charge of regional program initiatives on their own. They apply solid judgment to shifting threat conditions and collaborate with colleagues across functions and external partners to produce security results. The position involves balancing security, operational efficiency, and business continuity while transforming regional risks into scalable, practical controls that advance cargo visibility, shipment protection, and incident readiness. Responsibilities: Act as the EMEA logistics security authority, guiding the creation and implementation of risk-focused security programs for valuable and sensitive shipments involving carriers, freight forwarders, and logistics providers. Develop, apply, and manage shipment security controls, including tracking, telematics, geofencing, chain of custody, tamper detection, monitoring, critical issue handling, recovery processes, and carrier compliance requirements. Conduct carrier, route, l

We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10’s of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning critical components of our observability infrastructure, as a Staff engineer on the team, you’ll also work closely with other SWE, Product and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies low-level systems expertise to build the foundational infrastructure of a popular database, join us! Let’s build a faster, more reliable, and exceptionally observable database system together. W

Work Flexibility: Hybrid As a Post Market Quality Engineer, you will be responsible for continuous product and process quality improvements. You will conduct investigations into Customer Complaints, identify emerging trends, dictate action plans, and eventually own NC/CAPAs. You will support root cause activities and identify potential failure modes, risks, and resolve customer issues appropriately. This role is Hybrid/Onsite in Redmond, Washington. What You Will Do Analyze and present post-market quality data including complaints, service reports, Q-metrics, and trending to identify continuous improvement opportunities. Investigate customer complaints and drive records to timely closure. Own and support Nonconformance (NC) and Corrective and Preventive Action (CAPA) investigations. Partner with customers and cross-functional teams including R&D, Regulatory Affairs, Field Service, and Sales to resolve product quality issues. Conduct and maintain risk analyses, document findings, and support Risk Management activities. Calculate failure and harm occurrence ratings using field performance data. Provide post-market quality input related to product safety, reliability, durability, and design performance. Ensure compliance with Quality System Regulations (QSRs), internal procedures, and applicable quality standards. Communicate product quality insights and trends to internal and external stakeholders. What You Need Bachelor's degree in Engineering, Science, or a related technical discipline. 0 - 2 years of professional experience. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to manage multiple priorities and work effectively in a fast-paced environme

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You'll own durability and cost at petabyte scale, from streaming and batch replication between origins, to garbage collection over billions of objects. You'

About Us 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. Cloudflare protects and accelerates 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. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | Seattle, WA | London, UK About the Role Cloudflare's Developer Platform powers stateful, data-intensive applications across our network. We're looking for a Senior Software Engineer to work across the database stack, from query planning and execution to transaction processing and durable storage. You'll make decisions that shape the consistency, durability, and latency guarantees that customer applications rely on. Corr

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The Controls team at Nuro is responsible for safely and smoothly executing Autonomy generated plans, across vehicle platforms and ODDs. We are looking for an experienced Controls Engineer to join us in this impactful role, where you will collaborate with best-in-class engineers to tackle challenging problems and help advance the future of robotics to improve everyday lives. About the Work Develop robust, production-grade control software following safety standards (ISO 26262). Collaborate closely with OEM engineers and other Nuro teams to define vehicle and controls SW requirements for integrating Nuro Driver™ into new vehicle platforms. Adapt Controls software stack to new vehicle platforms. Conduct hands-on vehicle bring up, controls tuning, testing, and debugging for achieving vehicle performance, quality and drivability targets. About You MS in mechanical, mechatronics, electrical, aerospace, robotics, or closely relat

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The Controls team at Nuro is responsible for safely and smoothly executing Autonomy generated plans, across vehicle platforms and ODDs. We are looking for an experienced Controls Engineer to join us in this impactful role, where you will collaborate with best-in-class engineers to tackle challenging problems and help advance the future of robotics to improve everyday lives. About the Work Develop robust, production-grade control software following safety standards (ISO 26262). Collaborate closely with OEM engineers and other Nuro teams to define vehicle and controls SW requirements for integrating Nuro Driver™ into new vehicle platforms. Adapt Controls software stack to new vehicle platforms. Conduct hands-on vehicle bring up, controls tuning, testing, and debugging for achieving vehicle performance, quality and drivability targets. About You MS in mechanical, mechatronics, electrical, aerospace, robotics, or closely relat

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As the Performance Technical Lead for FlashBlade//EXA, you will define and own the end-to-end performance narrative for Everpure’s exascale disaggregated storage architecture built for AI factories. In this strategic and hands-on role, you will bridge systems performance engineering, benchmark architecture, and competitive intelligence to establish how //EXA is engineered, proven, and positioned against leading competitors in HPC and hyperscale AI infrastructure. You will partner directly with engineering, product management, and field sales teams to drive high-impact architecture evaluations and showcase Everpure’s leadership in high-throughput workloads. WHAT YOU'LL DO Architect and Define Performance Roadmaps: Translate deep storage protocol expertise (NFSv3 direct-to-DN, pNFS, S3) into technical performance requirements for //EXA’s disaggregated data path to resolve GPU-starved read patterns, metadata storms, and bursty HPC workloads. Drive Strategic Market Alignment for GPU/Sovereign Cloud: Align //EXA’s performance roadmap, sizing guidance, and reference architectures with the buying criteria and operational needs of multi-tenant GPU-cloud and sovereign-cloud operators. Establish Competitive Performance Technical Positioning: Develop rigorously substantiated architectural analyses comparing metadata scaling, durability tradeoffs, and GPU-direct paths to empower field engineering during customer technical eva

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Technical Program Manager owns the planning and coordination of hardware programs focused on our assembling and other traditionally manufactured power generation components and deliverables. This role helps bridge the gap between engineering, supply chain, manufacturing, and operations, ensuring our beta-stage designs make a successful leap to production. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Drive the end-to-end program execution of assembling the components, from prototype validation to initial production ramp. Partner with mechanical design engineers and manufacturing engineers to ensure designs are manufacturable and scalable. Develop and maintain detailed project timelines, tracking milestones, budgets, and risk mitigation plans. Strategic Problem-Solving: Apply a structured, hypothesis-driven approach to diagnose complex program challenges, identify root causes, and develop data-backed solutions. Lead cross-functional meetings to align engineering, operations, procurement, quality assurance and external vendors around shared goals. Coordinate testing and validation of parts, including mechanical, thermal, and durability testing in real-world power generation applications. Assist in supplier sourcing, DFM (Design for Manufacturability) reviews, and process validation with supplier partners. Track any ECRs resulting from modifications needed from design issues, testing, DFM or DFMEA ac

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for a strong technical lead to guide the engineers designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. You'll lead the team responsible for the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll set technical direction for the primitives that other teams (filesystems, training, sandboxes) build on, balancing durability, latency, throughput, and cost. You'll own the roadmap from today's hardest problems (garbage collection at petabyte scale, active-active replication, rate limiting that protects the upstream without wasting ut

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You'll own durability and cost at petabyte scale, from streaming and batch replication between origins, to garbage collection over billions of objects. You'