4 months ago

Member of Technical Staff, Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Experienced software engineer to build applications, platforms, tooling, and infrastructure that accelerate productivity across teams. Own customer use cases, develop features, and create internal tools and workflows, while collaborating with research, ML infrastructure, and product teams to improve developer velocity and deliver AI-powered products.

Location: San Mateo

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

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.
•Collaborate across research, ML infrastructure, and product teams to understand pain points and prioritize high-impact improvements.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionEquityCommuter BenefitsMeal Allowance

Key Requirements

•BS/MS/PhD in Computer Science or a related field (or equivalent experience).
•5+ years of experience in software engineering, application development, 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.
•Experience working with modern software development (CI/CD systems, GitHub Actions, Jenkins, BuildKite) and deployment automation.
•Familiarity with Kubernetes, Docker, and container orchestration in production environments.

Experience:5+ yearsAIMlSoftwareDevOps

Skills:PythonGoRustC++KubernetesDockerGitHub ActionsJenkinsBuildKiteCI/CDAWSAzure

Tech Stack:PythonGoRustC++KubernetesDockerGitHub ActionsJenkinsBuildKiteCI/CDAWSAzure

Company Brief

Inception Labs

Industry: AI & Machine Learning

Website

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Inception Labs

4 months ago

Member of Technical Staff, Software Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: San Mateo

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

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.
•Collaborate across research, ML infrastructure, and product teams to understand pain points and prioritize high-impact improvements.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionEquityCommuter BenefitsMeal Allowance

Key Requirements

•BS/MS/PhD in Computer Science or a related field (or equivalent experience).
•5+ years of experience in software engineering, application development, 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.
•Experience working with modern software development (CI/CD systems, GitHub Actions, Jenkins, BuildKite) and deployment automation.
•Familiarity with Kubernetes, Docker, and container orchestration in production environments.

Experience:5+ yearsAIMlSoftwareDevOps

Skills:PythonGoRustC++KubernetesDockerGitHub ActionsJenkinsBuildKiteCI/CDAWSAzure

Tech Stack:PythonGoRustC++KubernetesDockerGitHub ActionsJenkinsBuildKiteCI/CDAWSAzure

Company Brief

Inception Labs

Industry: AI & Machine Learning

Website