AI-Native Cloud Platform building serverless runtime for GPU-backed containers

**Beam** is an ultrafast AI inference platform. We built a serverless runtime that launches GPU-backed containers in less than 1 second and quickly scales out to thousands of GPUs. Developers use our platform to serve apps to millions of users around the globe. We're backed by Y Combinator, Tiger Global, and prominent developer-tool founders, including the founder of Snyk and former CTO of GitHub.

We're a small, highly-technical team, with backgrounds in distributed systems and robotics. We've raised $7M from YC, Tiger, Guy Podjarny (Founder of Snyk), and Jason Warner (former CTO of Github).

In this role, you'll build full-stack AI apps with our platform. You'll build examples, demos, and sharable mini-apps that showcase the most interesting capabilities of AI — and you'll use our infrastructure to do it. You'll also optimize inference performance for a wide range of models running on our platform. You will minimize latency, maximize throughput, and experiment to make sure the apps running on our platform have industry-leading performance.

Our mission is to build the world's best compute platform for AI. Our first product is a serverless inference platform, used by companies like Coca Cola, Geospy and hundreds more. We've built our own container runtime, called beta9, which is designed for launching GPU-backed containers in under 1s.

AI has introduced a new generation of workloads, like GPU inference, sandboxes, and agents. These aren't ordinary applications that can be run as Lambdas, or Dockerized apps on VMs: they're massive, stateless containers that need to spin up in <1s, often across multiple clouds and regions.

We're searching for intensely curious, passionate, and hard-working engineers to join our mission in rebuilding the cloud for the age of AI. Your work will directly impact millions of users worldwide.

AI Engineer position at Beam, building full-stack AI apps and optimizing inference performance for GPU-backed containers

AI Engineer

**Beam** is an ultrafast AI inference platform. We built a serverless runtime that launches GPU-backed containers in less than 1 second and quickly scales out to thousands of GPUs. Developers use our platform to serve apps to millions of users around the globe. We're backed by Y Combinator, Tiger Global, and prominent developer-tool founders, including the founder of Snyk and former CTO of GitHub.

Our team works in-person in **New York City**, but we welcome remote applicants who are exceptionally qualified.

We're a small, highly-technical team, with backgrounds in distributed systems and robotics. We've raised $7M from YC, Tiger, Guy Podjarny (Founder of Snyk), and Jason Warner (former CTO of Github).

Our mission is to build the world's best compute platform for AI. Our first product is a serverless inference platform, used by companies like Coca Cola, Geospy and hundreds more. We've built our own container runtime, called beta9, which is designed for launching GPU-backed containers in under 1s.

In this role, you'll optimize inference performance for a wide range of models running on our platform. You will minimize latency, maximize throughput, and continuously experiment to achieve industry-leading performance. Your work will directly impact millions of users worldwide.

We're searching for intensely curious, passionate, and hard-working engineers to join our mission in rebuilding the cloud for the age of AI. The ideal candidate will have:

- Experience with state-of-the-art inference stack (PyTorch, TensorRT, vLLM)
- Familiarity with modern AI workflows, like ComfyUI and LoRA adaptors
- Deep understanding of model compilation, quantization, and serving architectures
- Experience with GPU architectures and kernel-level optimizations
- Proficiency in CUDA, Triton, or similar low-level accelerator frameworks

Senior Machine Learning Engineer role at Beam, optimizing AI inference performance and building scalable GPU-backed container infrastructure.

Machine Learning Engineer

AI-Native Cloud Platform building serverless runtime for GPU-backed containers, focusing on AI inference and cloud computing solutions.

Beam is revolutionizing cloud computing for the AI era with their ultrafast AI inference platform. Their innovative serverless runtime launches GPU-backed containers in under 1 second and efficiently scales to thousands of GPUs, serving millions of users globally. The platform addresses the unique challenges of modern AI workloads, including GPU inference, sandboxes, and agents.

As a Platform Software Engineer, you'll be working on cutting-edge problems in distributed systems and container technology. The role involves developing low-level systems, working with container runtimes, OCI image formats, and implementing efficient GPU resource management across multiple clouds. You'll also work with advanced technologies like GPU checkpoint restore and CRIU.

The position requires strong expertise in distributed systems, Kubernetes, and statically typed languages like Golang or Rust. You'll be joining a small, highly-technical team with backgrounds in distributed systems and robotics, backed by prestigious investors including YC, Tiger Global, and prominent developer-tool founders.

The company offers an attractive compensation package including competitive salary, meaningful equity, and comprehensive benefits. Based in New York City, they maintain a flexible approach to remote work for exceptionally qualified candidates. This is an opportunity to join a pre-series A company at the ground floor and make a significant impact on the future of cloud computing for AI applications.

Senior Platform Engineer role at Beam, building ultrafast AI inference platform with GPU-backed containers. Go/Python stack, distributed systems focus.

Software Engineer, Platform

Tech start-up revolutionizing business operations with AI through AI Agents that automate repetitive tasks and boost productivity.

Beam is an innovative AI tech startup that's transforming business operations through their AI Agents platform. As a Staff Backend Engineer, you'll play a crucial role in designing and implementing the scalable backend systems that power their AI-driven solutions. This position offers a unique opportunity to work at the intersection of AI and enterprise software, requiring 7+ years of experience and deep expertise in backend technologies including TypeScript, Python, or Go.

The role demands strong architectural skills and leadership capabilities, as you'll be responsible for shaping the engineering strategy and leading complex backend projects. You'll work with modern technologies including containerization (Docker, Kubernetes), various databases (PostgreSQL, MongoDB), and cloud platforms. The position involves close collaboration with cross-functional teams and requires both technical excellence and mentorship abilities.

Beam offers an attractive combination of technical challenges and growth opportunities. You'll be working with cutting-edge AI technologies while having the autonomy to make significant impact. The company provides competitive compensation including salary and stock options, fostering a collaborative startup environment where innovation is encouraged.

The hybrid work arrangement in Karachi, Pakistan, offers flexibility while maintaining team collaboration. This is an excellent opportunity for a senior engineer looking to step up into a staff-level position where they can influence technical direction and mentor others while working on innovative AI solutions that solve real business problems.

Staff Backend Engineer position at Beam, leading backend system design and implementation for an AI-powered business operations platform.

Staff Backend Engineer

Beam is a tool to build machine learning-powered applications, helping developers run code on serverless GPUs and deploy performant APIs without managing infrastructure.

Beam is an ultrafast AI inference platform that has built a groundbreaking serverless runtime capable of launching GPU-backed containers in under 1 second and scaling to thousands of GPUs. The platform serves millions of users globally and is backed by prestigious investors including Y Combinator and Tiger Global, along with notable developer-tool founders.

As a Machine Learning Engineer at Beam, you'll be at the forefront of optimizing inference performance across diverse models on their platform. Your role will focus on minimizing latency, maximizing throughput, and conducting experiments to achieve industry-leading performance. Your work will have direct impact on millions of users worldwide.

The ideal candidate should have strong experience with modern inference stacks like PyTorch, TensorRT, and vLLM, plus familiarity with AI workflows including ComfyUI and LoRA adaptors. Deep understanding of model compilation, quantization, and serving architectures is essential. You should be comfortable with GPU architectures and kernel-level optimizations, along with experience in CUDA, Triton, or similar frameworks.

The position offers competitive compensation ($120K-$200K with 0.20%-0.75% equity) and comprehensive benefits including health coverage, learning opportunities, and fitness stipends. While the team works in-person in New York City, they welcome exceptional remote candidates. This is an opportunity to join a fast-growing pre-Series A company that's building the future of ML infrastructure.

Machine Learning Engineer role at Beam, optimizing inference performance for AI models on serverless GPU infrastructure.

Beam (https://beam.cloud) is revolutionizing how developers build and run AI and LLM applications on serverless GPUs. As a fast-growing pre-series A startup, we're looking for a Research Engineer to join our team in New York.

Our platform enables developers to deploy their code on serverless GPUs without managing infrastructure, making it the fastest way to go from ML prototype to production service. We're proud to serve hundreds of teams who use Beam to power their production applications, alongside a thriving developer community building state-of-the-art AI apps.

As a Research Engineer, you'll be at the forefront of solving complex technical challenges in distributed computing, storage, and runtime optimizations. You'll work on fascinating problems like:
- Low-level systems development with container runtimes and OCI image formats
- Implementing efficient GPU workload distribution across multiple clouds
- Exploring cutting-edge technologies like GPU checkpoint restore and CRIU

We're looking for someone who's passionate about systems programming and has experience with statically typed languages like Golang or Rust. You should be comfortable working independently on challenging problems in distributed systems, operating systems, or networking.

The role offers competitive compensation ($103K-$155K + equity), comprehensive benefits (90% coverage for employees, 50% for dependents), and the opportunity to shape the future of ML infrastructure. We maintain a hybrid work environment, requiring 3 days per week in our New York office.

Join us in our mission to make ML infrastructure more accessible and help developers leverage machine learning effectively in their products. We believe that by hiding complex infrastructure from users, we can accelerate the widespread adoption of machine learning across the software industry.

Research Engineer role at Beam, focusing on distributed systems and GPU infrastructure for AI applications. Hybrid position in New York, offering $103K-$155K + equity.

Research Engineer

AI Infrastructure company helping developers deploy web endpoints, task queues, and scheduled jobs on serverless GPUs.

Beam (https://beam.cloud) is revolutionizing how developers build and run AI and LLM applications on serverless GPUs. As a fast-growing pre-series A company, we're enabling hundreds of teams to power their production applications without managing infrastructure.

We're seeking a Platform Engineer to tackle exciting technical challenges:
- Deep systems development work with container runtimes and OCI image formats
- Implementing efficient workload distribution across GPU clusters on multiple clouds
- Working with cutting-edge tech like GPU checkpoint restore and CRIU
- Building and maintaining our Go-based backend infrastructure with some Python components

This is a unique opportunity to join a growing team that's solving complex distributed systems challenges while working directly with customers. You'll be part of building the infrastructure that's making ML more accessible to developers, moving away from academic tools to production-ready solutions.

The role offers competitive compensation ($173K-$202K + 0.25-1.00% equity) and comprehensive benefits including health coverage and professional development opportunities. You'll work from our Brooklyn office in a hybrid setup (minimum 3 days in-office) alongside passionate engineers who are enthusiastic about developer tools and cloud native technologies.

The ideal candidate brings 3-5 years of distributed systems experience, strong Kubernetes knowledge, and expertise in statically typed languages like Go or Rust. You should be comfortable with gRPC, Helm/Kustomize, and Terraform, and excited about collaborating directly with customers to shape the future of ML infrastructure.

Senior Platform Engineer role at Beam, building serverless GPU infrastructure for AI applications in New York.

Tech start-up revolutionizing business operations with AI through AI Agents that automate repetitive tasks

Beam is an innovative tech startup that's transforming business operations through AI-powered automation. As a Staff Backend Engineer, you'll play a crucial role in designing and implementing the backbone of their AI platform. This position offers an exciting opportunity to work at the intersection of AI and enterprise software, leading complex technical initiatives and shaping the architecture of scalable systems.

The role demands a seasoned engineer with 7+ years of experience who can not only architect robust backend solutions but also provide technical leadership to the team. You'll be working with modern technologies including TypeScript, Python, or Golang, and managing both SQL and NoSQL databases. The position involves heavy interaction with cloud platforms, containerization, and microservices architecture.

What makes this role particularly attractive is the combination of technical challenges and leadership opportunities. You'll be working directly with cutting-edge AI technologies while having the autonomy to make significant technical decisions. The company offers a strong compensation package including equity, creating an opportunity to be part of a potentially high-growth startup.

The hybrid work environment in Karachi, Pakistan, provides flexibility while maintaining collaborative opportunities with the team. This is an ideal position for a senior engineer looking to step up into a staff-level role where they can make a meaningful impact on both the technical architecture and the engineering culture of a growing AI company.

Staff Backend Engineer position at Beam, leading backend system design and implementation for an AI-focused tech startup in Karachi, Pakistan.

Beam is an innovative tech startup that's transforming business operations through AI-powered automation. As a Senior Frontend Engineer, you'll be instrumental in shaping the user experience of their AI platform. The role demands a skilled professional with 7+ years of experience who can craft intuitive interfaces using modern technologies like React, TypeScript, and Next.js. You'll work in a hybrid setting in Karachi, Pakistan, collaborating with cross-functional teams to build responsive web applications.

The position offers a unique opportunity to work at the intersection of AI and frontend development, where you'll be responsible for implementing sophisticated user interfaces that make complex AI functionality accessible and user-friendly. You'll utilize state management tools, conduct code reviews, and maintain high coding standards while working with the latest frontend technologies.

This role is ideal for someone who combines technical expertise with a passion for user experience. The company offers compelling benefits including stock options, competitive salary, and comprehensive benefits. At Beam, you'll have the autonomy to drive projects, opportunities for professional growth, and the chance to work with cutting-edge AI technologies in a collaborative startup environment.

The ideal candidate should have a strong foundation in computer science or related field, extensive experience with modern frontend technologies, and a keen eye for UI/UX design. You'll be joining a company that's at the forefront of AI innovation, working to revolutionize how businesses operate through intelligent automation solutions.

Senior Frontend Engineer position at Beam, developing AI-powered business automation solutions using React, TypeScript, and modern frontend technologies in a hybrid work environment.

Beam Engineering Jobs

AI-Native Cloud Platform building serverless runtime for GPU-backed containers