The Role:
We’re looking for strong engineers with experience building developer tools that users love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful interfaces that enhance developer productivity.
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Modal
Software Development — US
The production cloud for AI. Run inference, training, batch processing and sandboxes with sub-second cold starts, instant autoscaling across thousands of GPUs and a developer experience that feels local.
Modal
Member of Technical Staff - Python SDK
Full time • New York; Stockholm
$150K – $350K • Offers Equity
Requirements
- 5+ years of experience developing high-quality Python libraries with broad user-bases, ideally including some experience maintaining open-source software.
- Knowledge of advanced Python features, especially async programming.
- A strong product sense that manifests as a focus on developer ergonomics and productivity.
- A high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems.
- Ability to participate in on-call rotation and respond to production incidents.
- Ability to work in-person in our NYC or Stockholm office.
Nice-to-Haves
- Familiarity with modern data / ML / AI tools and workflows
- Experience with Typescript, Go, or Rust
Modal
Member of Technical Staff - Systems
Full time • Stockholm
$140K – $200K • Offers Equity
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.
Requirements
- 5+ years of experience writing high-quality production code
- Experience building high-performance distributed systems at a large scale (the more battle scars, the better)
- Strong cloud skills
- Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.)
- Experience with performance engineering (tell us a story of when you shaved off a few milliseconds!)
- Ability to work in-person in our Stockholm office.
- Prior experience with Rust is nice to have, but not required.
- Ability to participate in on-call rotation and respond to production incidents.
Modal
Member of Technical Staff - Platform Engineering
Full time • New York; Stockholm
$150K – $350K • Offers Equity
The Role:
At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform, customer base, and our team. This role is for people who are deep systems thinkers, love stacking nines, and thrive from making others move faster at scale.
Responsibilities
- Identifying architectural changes to improve reliability and performance.
- Fostering a culture of reliability across Modal’s engineering organization.
- Defining and implementing operational processes such as deployments, upgrades, etc.
- Operating systems like Kubernetes, Postgres, Redis, etc.
- Participating in on-call rotations, and responding to production incidents.
Requirements
- 5+ years of experience writing high-quality production code.
- 2+ years of on-call experience for critical production services.
- Strong cloud skills, and deep familiarity with at least one hyperscaler cloud (AWS preferred).
- Familiarity with auto scaling, fleet management, and capacity planning at scale.
- Experience operating databases, monitoring, CI/CD, and other infrastructure, at scale
- Experience owning and scaling Kubernetes clusters to thousands of nodes a plus.
- Experience with systems safety research (e.g. STAMP) and control theory a plus.
- Ability to work in-person in our NYC or Stockholm offices.
Modal
Systems Engineering Manager
Full time • Stockholm
$175K – $250K
The Role:
We’re looking for an Engineering Manager to lead a group of highly experienced engineers. This is a hands-on leadership role where you’ll spend roughly half your time on technical contribution and half on people management, depending on the need. You’ll work closely with the team to set direction, remove blockers, and foster a strong engineering culture as they tackle complex systems challenges in distributed computing, large-scale data handling, and performance optimization.
We think you are an experienced engineering leader who thrives close to the work and enjoys building alongside their team when needed. You earn trust through technical depth, communicate with clarity, and help great engineers move fast and make sound decisions. You thrive in a fast paced environment, you are pragmatic, calm under pressure, and focused on impact.
Requirements
- At least 10 years of industry experience, including 3 years experience in a leadership role
- Experience building high-performance distributed systems at a large scale
- Strong background in cloud infrastructure
- Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.)
- Proficient in systems-level languages such as Rust, C, C++, or Java
Modal
Forward Deployed Engineer - ML
Full time • Stockholm
The Role:
We're looking for Forward Deployed ML Engineers who want to work at the intersection of deep technical work and direct customer impact. As an ML FDE, you'll partner with leading AI companies and foundation model labs to help them achieve state-of-the-art performance on their most demanding workloads — LLM serving, model training (SFT, RLHF), audio pipelines, scientific computing, and more. You're helping teams reach outcomes most engineers can't on their own.
The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We're looking for people with strong engineering fundamentals, deep curiosity across the AI stack, and energy for working directly with customers on hard problems.
Responsibilities
- Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and optimize production AI workloads on Modal
- Contribute to open-source projects — members of the team are active contributors to SGLang — and publish technical content that demonstrates Modal's capabilities across the AI stack
- Collaborate with Modal's product and sales teams, contributing to the platform as both an engineer and a product stakeholder
- Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work
- Conduct technical demos, experiments, and proof-of-concepts that make Modal's performance advantages tangible
Requirements
- 2+ years of professional ML engineering experience, ideally with hands-on work in inference optimization, model training, GPU programming, or ML infrastructure
- Familiarity with the serving (e.g., vLLM, SGLang) and training (e.g., slime, verl, TRL) toolchains. You don't need all of these, but you should be able to go deep on at least one.
- Strong communicator who can go deep on technical architecture with an engineering team and clearly articulate tradeoffs to technical leadership
- Genuine interest in working directly with customers — you find it energizing to understand someone else's problem and help them solve it
- Willing to work in-person in Stockholm
Nice-to-Haves
- side projects, open-source contributions, or published work you're proud of in ML or systems performance