Member of Technical Staff, Software Engineer
AI summary of the role
Inception Labs seeks an experienced software engineer to build product features, developer tooling, and internal platforms that accelerate AI research and customer adoption.
What you’ll do
- Develop new product features to unlock new customer use cases
- Create and maintain development environments, tooling, and workflows that improve developer velocity
- Build internal tools and dashboards for experiment tracking, resource management, and operational visibility
- Establish and promote engineering best practices around testing, code review, release management, and incident response
What you’ll bring
- BS/MS/PhD in Computer Science or related field (or equivalent experience)
- 5+ years in software engineering, application development, developer tooling, platform engineering, DevOps, or infrastructure
- Strong proficiency in Python; comfort with Go, Rust, or C++ is a plus
- Experience with CI/CD systems (GitHub Actions, Jenkins, BuildKite) and deployment automation
Technologies
Python · Go · Rust · C++ · Kubernetes · Docker · AWS · Azure · GitHub Actions · Jenkins · BuildKite · CI/CD
Source and classification
Internal deployment & tooling · Evidence for this classification:
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 applications, platforms, tooling, and infrastructure that make every team at Inception more productive. You'll own and drive customer use cases, build product features, development environments, and internal tools — that directly accelerate our ability to bring the latest AI technology to our customers. This role is ideal for engineers who care deeply about customer experience and developer velocity and want to work at a company where the
More from the job description
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 applications, platforms, tooling, and infrastructure that make every team at Inception more productive. You'll own and drive customer use cases, build product features, development environments, and internal tools — that directly accelerate our ability to bring the latest AI technology to our customers. This role is ideal for engineers who care deeply about customer experience and developer velocity 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 Develop new product features to unlock new customer use cases Create and maintain development environments, tooling, and workflows that improve developer velocity. Build internal tools and dashboards for experiment tracking, resource management, and operational visibility. Establish and promote engineering best practices around testing, code review, release management, and incident response [... source excerpt omitted ...] ith modern software development (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 customer experience and developer velocity — you care deeply about bringing AI to customers and about making other engineers' lives easier. Preferred Skills Experience developing AI/ML-powered product features that are loved by customers Experience building and operating ML or GPU-intensive workloads (training clusters, inference pipelines, serving APIs, large artifact management). [... source excerpt omitted ...] r engineering organization. Compensation The annual base salary range for this role is $200,000 – $350,000 USD. Final compensation is determined based on experience, skills, and qualifications. Equity and benefits are included in the total package. 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
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