Inception creates the world’s fastest, most efficient AI models. Our Mercury model is the world’s fastest reasoning LLM and first commercially available diffusion LLM, delivering 5x greater speed and efficiency than today’s LLMs, with best-in-class quality.
We are the AI researchers and engineers behind such breakthrough AI technologies as diffusion models, flash attention, and DPO.
The Role
We seek experienced software engineers to build the platforms, tooling, and infrastructure that make every team at Inception more productive. You'll own high-leverage systems — CI/CD pipelines, development environments, internal tools, deployment automation, and observability — that directly accelerate our ability to ship models and products. This role is ideal for engineers who care deeply about developer experience and want to work at a company where the software you build is a force multiplier on a world-class research and engineering org.
Key Responsibilities
- Design, build, and maintain CI/CD pipelines that enable fast, reliable, and safe deployments across the stack.
- Create and maintain development environments, tooling, and workflows that minimize friction for engineers.
- Build internal tools and dashboards for experiment tracking, resource management, and operational visibility.
- Design infrastructure as code, deployment automation, and cloud resource management.
- Instrument systems for observability — logging, metrics, tracing, and alerting — so teams can debug and iterate quickly.
- Establish and promote engineering best practices around testing, code review, release management, and incident response.
- Establish and maintain security practices across the engineering stack, including secrets management and access controls.
- Collaborate across research, ML infrastructure, and product teams to understand pain points and prioritize high-impact improvements.
Qualifications
- BS/MS/PhD in Computer Science or a related field (or equivalent experience).
- 5+ years of experience in software engineering, developer tooling, platform engineering, DevOps, or infrastructure roles.
- Strong proficiency in Python; comfort with at least one systems language (Go, Rust, C++) is a plus.
- Deep experience with CI/CD systems (GitHub Actions, Jenkins, BuildKite) and deployment automation.
- Familiarity with Kubernetes, Docker, and container orchestration in production environments.
- Experience with infrastructure as code and cloud platforms (AWS, Azure).
- A strong empathy for developer experience — you care about making other engineers' lives easier.
Preferred Skills
- Experience supporting ML or GPU-intensive workloads (training clusters, inference pipelines, large artifact management).
- Familiarity with monitoring and observability stacks.
- Experience building or maintaining monorepo tooling, build caching, or remote execution systems.
- Experience with testing strategies for ML systems (nondeterminism, regression testing, evaluation-driven validation).
- Familiarity with secrets management, access control, and security best practices for engineering infrastructure.
- Experience scaling developer tooling at a fast-growing startup or engineering organization.
Why Join Inception
- Work with World-Class Talent: Collaborate with the inventors of diffusion models and leading AI researchers
- Shape Foundational Technology: Your decisions will influence how the next generation of AI products are built and used
- Immediate Impact: Join at the ground floor where your contributions directly shape product direction and company trajectory
Perks & Benefits
- Competitive salary and equity in a rapidly growing startup
- Flexible vacation and paid time off (PTO)
- Health, dental, and vision insurance
- Catered meals (breakfast, lunch, & dinner)
- Commuter subsidies
- A collaborative and inclusive culture
About Us
Inception creates the world’s fastest, most efficient AI models. Today’s autoregressive LLMs generate tokens sequentially, which makes them painfully slow and expensive. Inception’s diffusion-based LLMs (dLLMs) generate answers in parallel. They are 5x faster and more efficient, while delivering best-in-class quality.
Inception was co-founded by Stanford professor Stefano Ermon, who co-invented such breakthrough AI technologies as diffusion models, flash attention, and DPO, UCLA professor Aditya Grover, who co-invented node2vec, decision transformers, and d1 reasoning, and Cornell professor and Afresh co-founder Volodymyr Kuleshov, who co-invented MDLM and Block Diffusion.
We pioneered the application of diffusion to language, with world’s first (and only) commercially available dLLM, Mercury. We are currently deploying our large-scale diffusion LLMs at Fortune 500 companies. Diffusion is the technology behind today’s image and video AI, and we’re making it the standard for LLMs as well.
Our team includes engineers from Google DeepMind, Meta AI, Microsoft AI, and OpenAI. Based in Palo Alto, CA, we are backed by A-list venture capitalists, including Menlo Ventures, Mayfield, M12 (Microsoft’s venture fund), Snowflake Ventures, Databricks, and Innovation Endeavors, and by tech luminaries such as Andrew Ng, Andrej Karpathy, and Eric Schmidt.
If you are talented, innovative, and ambitious, come help us invent the future of AI.
We are an equal opportunity employer and encourage candidates of all backgrounds to apply.