True Anomaly Logo

True Anomaly

Software Engineer I, Elixir (New Grad)

Posted Yesterday
Be an Early Applicant
In-Office
Denver, CO
75K-80K Annually
Junior
In-Office
Denver, CO
75K-80K Annually
Junior
Develop and maintain distributed spacecraft ground control software in Elixir, including satellite command and control, mission planning, mission data processing, and data analysis systems. Participate in architecture, design, and code reviews while collaborating across engineering disciplines. The role involves solving greenfield problems involving resilient, fault-tolerant, concurrent, and real-time distributed systems.
The summary above was generated by AI

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

OUR MISSION

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

OUR VALUES

  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It’s the people. Our team is our competitive advantage and we are better together.

YOUR MISSION

Software is the central nervous system for True Anomaly’s engineering and product thesis. Software bridges the gap between military objectives, theoretical astrodynamics and the human and autonomous control of spacecraft and ground systems in time and space. True Anomaly is seeking an Elixir Software Engineer for development of our distributed spacecraft ground control system. 
 
You do not need to have experience building space ground systems or experience in aerospace. You’ll have ownership of challenging, greenfield problems and a chance to fundamentally impact the outcome of future conflict (and the future of the company), all while enjoying world-class benefits including platinum healthcare, flexible work hours/location, highly competitive compensation and a generous stock options package. 

RESPONSIBILITIES

  • Design, develop, and sustain satellite command and control, mission planning, mission data processing and data analysis software systems using Elixir 
  • Bring your voice to the table in team collaborations on architecture, design, and code reviews 
  • Interact and collaborate with engineers from various disciplines to create emergent results 

QUALIFICATIONS

  • 0 to 2 years of software development experience 
  • Bachelor’s degree in computer science or similar discipline or relevant experience 
  • Exposure to modern functional programming paradigms, esp. Elixir and/or Erlang
  • Interest in developing resilient and fault-tolerant architectures
  • Eagerness to develop leadership ability, exceptional written and oral communication skills, and aptitude for working across disciplines 
  • Enjoys debugging and problem solving live systems 
  • Familiarity with distributed systems, reasoning about concurrency
  • U.S. Citizen and eligible for DoD Secret or TS/SCI clearance

PREFERRED SKILLS AND EXPERIENCE

  • Familiarity with Elixir and OTP including GenServer, Registry, Tasks, Phoenix.PubSub, and Broadway
  • Relational database experience with PostgreSQL or similar
  • Experience with monitoring and tracing in a distributed system 
  • Experience working with real-time applications

COMPENSATION

  • Base Salary: 
    • Denver: $75,000
    • Long Beach: $80,000
  • Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

  • Work Location—Successful candidates will be located near Denver or Colorado Springs. While we observe a hybrid work environment, some work must be done on site.
  • Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
  • Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below.

#LI-Onsite 

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.


Similar Jobs at True Anomaly

48 Minutes Ago
In-Office
22-34 Hourly
Entry level
22-34 Hourly
Entry level
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Supports spacecraft mechanical assembly, integration, component installation, and environmental and functional testing. Follows drawings, work instructions, and manufacturing documentation; learns hand tools, power tools, torque tools, and measurement equipment. Handles materials, maintains FOD, ESD, cleanliness, safety, and hardware standards, documents completed work, reports discrepancies, and cross-trains across production and test functions.
Top Skills: Esd ControlsFod ControlsHand ToolsMeasuring EquipmentPower ToolsTorque Tools
2 Hours Ago
In-Office
125K-220K Annually
Mid level
125K-220K Annually
Mid level
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Develop and evaluate machine learning models for object classification, anomaly detection, and data-driven space mission tasks. Support data ingestion, preprocessing, feature engineering, experimentation, and model evaluation. Write clean, tested Python code while collaborating with senior engineers. The role is fully onsite in Denver or Long Beach and requires compliance with U.S. ITAR technology export regulations.
Top Skills: GitJaxMlopsPythonPyTorchTensorFlow
2 Hours Ago
In-Office
125K-220K Annually
Mid level
125K-220K Annually
Mid level
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Develop, train, and evaluate machine learning models for space-domain applications including object classification and anomaly detection. Build data ingestion, preprocessing, feature engineering, and model evaluation pipelines; conduct experiments; track results; and write clean, testable Python code. Collaborate with senior engineers while contributing to AI capabilities supporting space security and autonomous systems.
Top Skills: GitJaxMlopsPythonPyTorchTensorFlow

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account