Senior Software Engineer

Atomic Industries

United States

Remote

USD 150,000 - 260,000

Full time

40 hours ago
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Benefits offered by this job

Equity package
Medical coverage for dependents
401(k)
PTO 15 days
Team travel to Detroit
Visa support
Hardware stipend
Prototype lab access

Job summary

Atomic Industries is seeking a senior backend engineer to design and implement scalable systems and APIs in Python and other languages. You will build services for geometry processing, simulation orchestration, and real-time data handling, while shaping data schemas and pipelines across PostgreSQL, S3, Redis, and RabbitMQ.

You will own CI/CD pipelines and deployment infra using GitHub Actions and Hashicorp tools, and collaborate with design teams to create intuitive interfaces for engineers and

Qualifications

  • 7+ years building and deploying production software at scale.
  • Proficiency in a systems language (Go, Rust, or C++) and a scripting language (Python preferred).
  • Experience designing and scaling distributed systems, data pipelines, or high-performance compute services.
  • Hands-on experience with distributed computing, cloud infrastructure, and CI/CD pipelines.
  • Comfortable in hybrid cloud and on-prem environments, including bare-metal GPU systems.
  • Excellent written and verbal communication skills.

Responsibilities

  • Design and implement scalable backend systems and APIs in Python and other languages.
  • Build and maintain services for geometry processing, simulation orchestration, and real-time data handling.
  • Design schemas and pipelines for structured and unstructured data using PostgreSQL, S3, Redis, and RabbitMQ.
  • Own and improve CI/CD pipelines and deployment infrastructure (GitHub Actions, Hashicorp stack).
  • Collaborate with product and design to define intuitive interfaces for tooling engineers and internal users.
  • Profile and optimize performance-critical workloads, including GPU-accelerated simulation tasks.

Skills

Go
Rust
C++
Python
Distributed systems
Cloud infrastructure

Tools

PostgreSQL
S3
Redis
RabbitMQ
GitHub Actions
Hashicorp stack

Job description

Responsibilities
  • Design and implement scalable backend systems and APIs in Python and other languages
  • Build and maintain services for geometry processing, simulation orchestration, and real-time data handling
  • Design schemas and pipelines for structured and unstructured data using PostgreSQL, S3, Redis, and RabbitMQ
  • Own and improve CI/CD pipelines and deployment infrastructure (GitHub Actions, Hashicorp stack)
  • Collaborate with product and design to define intuitive interfaces for tooling engineers and internal users
  • Profile and optimize performance-critical workloads, including GPU-accelerated simulation tasks
Requirements
  • 7+ years building and deploying production software at scale
  • Proficiency in a systems language (Go, Rust, or C++) and a scripting language (Python preferred)
  • Experience designing and scaling distributed systems, data pipelines, or high-performance compute services
  • Hands-on experience with distributed computing, cloud infrastructure, and CI/CD pipelines
  • Comfortable in hybrid cloud and on-prem environments, including bare-metal GPU systems
  • Excellent written and verbal communication skills
Preferred Qualifications
  • Experience with 3D geometry kernels (Parasolid, OpenCascade) or CAD/CAM workflows
  • Familiarity with simulation, manufacturing, robotics, or hardware-in-the-loop systems
  • Understanding of ITAR, CMMC, or similar regulatory constraints
  • Experience building developer-facing tools, SDKs, or internal platforms
Benefits
  • Competitive salary and generous equity package
  • Full medical, dental, and vision coverage for employees and dependents
  • 401(k)
  • PTO with a 15-day minimum
  • Quarterly team travel to Detroit
  • Visa support for TN, E-3, and O-1 candidates
  • Hardware stipend and on-site prototype lab access
About the Company
  • Atomic Industries uses AI-driven software to compress manufacturing tooling timelines from months to days, running a fully operational factory alongside its platform.
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