Principal Software Engineer

valaratomics; Torrance (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Valar Atomics is hiring a Principal Software Engineer to own the architecture for telemetry, streaming, and enterprise systems. You will work with reactor and manufacturing engineers to build scalable tooling and set the technical direction for the platform.

The role requires deep experience with time-series data, high-volume streaming, and full-stack services, and will involve collaboration across multiple teams in a regulated environment.

Qualifications

• 10+ years of software engineering, with ownership of a platform or major system.
• Experience designing high-volume telemetry or time-series systems.
• Proven ability in streaming architectures (Kafka, Pulsar, Kinesis, Flink).
• Experience with simulation, modeling, or scientific computing platforms.
• Full-stack software development integrating with enterprise systems.
• Proficiency in Java, Go, Rust, or similar plus Python/JavaScript.
• Cloud, containers, IaC, and CI/CD experience.
• Strong CS fundamentals and data modeling.

Responsibilities

• Own end-to-end architecture of Valar's software platform across telemetry, streaming, simulation, and enterprise systems.
• Design high-volume telemetry ingestion for reactor data at scale with proper timestamps and ordering.
• Architect the streaming backbone for analytics, monitoring, and enterprise use.
• Support the simulation and modeling platform with reproducible results.
• Build full-stack services and interfaces across REST, GraphQL, and events.
• Design data models and boundaries for auditable, reusable records.
• Establish engineering practices: deployment, observability, testing, and on-call.
• Mentor engineers and set technical direction for the growing team.

Skills

Telemetry

Time-series

Streaming systems

Event streaming

Simulation platforms

Full-stack services

REST & GraphQL

AI coding agents

Cloud & containers

CI/CD

Java

Go

Rust

Python

JavaScript

Kubernetes

Docker

Terraform

Tools

Kubernetes

Docker

Terraform

Job description

About Valar Atomics

At Valar Atomics, we're redefining what's possible in energy. Our mission is to make clean, high-temperature nuclear power scalable-unlocking abundant energy for industry, hydrogen, and next-generation manufacturing. We are a team of builders, engineers, and operators who believe nuclear energy should be fast to deploy, factory-made, and built for the real world. Our first pilot plant in Orangeville, Utah will demonstrate how advanced nuclear systems and fuel fabrication can power the future. Joining Valar Atomics means becoming part of a company where autonomy, ownership, and impact exist at every level.

The Team

As part of the Engineering organization, Software Engineering builds the internal platforms and tools that power reactor design, fuel manufacturing, licensing, and plant operations. The team partners directly with engineering, manufacturing, and operations to deliver full-stack software, integrate enterprise systems, and preserve traceability from requirement to as-built.

The Role

The Principal Software Engineer will own the technical architecture of the operating system for Valar-the telemetry systems that capture every second of reactor and fuel test data, the streaming backbone that moves it, the simulation platforms our reactor engineers design with, and the enterprise systems that run the company. You will set the direction the rest of our software engineers build against, take the hardest problems yourself, and work directly with reactor and fuel engineers, systems engineering, licensing, manufacturing, supply chain, and operations to understand how they actually work and then build the tooling that makes them faster. This position will be located in Torrance, California, with regular travel to our Orangeville, Utah pilot plant.

Key Responsibilities

• Own the end-to-end architecture of Valar's software platform across telemetry, streaming, simulation, and enterprise systems, and make the build-versus-buy calls that shape it for the next decade.
• Design and build high-volume telemetry ingestion for reactor test stands, fuel manufacturing, and instrumentation-high-rate time-series at scale, with source timestamps, units, quality, and ordering preserved end to end.
• Architect the streaming backbone that carries operational data to analytics, simulation, monitoring, and enterprise consumers, and engineer it for throughput, backpressure, replay, and recovery.
• Support the simulation and modeling platform: Campaign management, compute scheduling, and reproducible, traceable results engineers can defend to regulators.
• Architect and build full-stack services and web interfaces that engineers, operators, and technicians use daily, and integrate the commercial systems the company runs on (PLM, ERP, MES, document and records management) over REST, GraphQL, and event-driven interfaces.
• Design data models, interfaces, and access boundaries that keep engineering, manufacturing, test, and quality records consistent, auditable, and usable across every team that needs them.
• Establish the engineering practices this platform depends on-deployment, observability, testing, on-call, and software quality standards appropriate to a regulated environment.
• Use AI coding agents and assistants as a core part of how you work, and set the standard for how the team verifies what they produce.
• Set technical direction, lead design and code reviews, and mentor engineers as the software organization grows around you.

Basic Qualifications

• 10+ years of relevant experience writing software and deploying it to a production environment, including significant time as the technical owner of a platform or major system.
• Demonstrated experience designing and operating high-volume telemetry or time-series systems-instrumentation, test, industrial, vehicle, or comparable high-rate data.
• Demonstrated experience with high-volume streaming and event-driven architectures (Kafka, Pulsar, Kinesis, Flink, or similar), including throughput, backpressure, ordering, and replay concerns.
• Experience building or operating simulation, modeling, or scientific computing platforms-orchestration of computational codes, batch and distributed compute, and reproducible results management.
• Experience building enterprise and engineering software: full-stack services, web interfaces, and integration with commercial systems of record.
• Demonstrated skill in both typed (like Java, C#, Go, C++, or Rust) and untyped (like Python or JavaScript) languages.
• Proven track record driving architecture and technical decisions across multiple teams and stakeholders.
• Working experience with cloud and containerized deployment, infrastructure as code, and CI/CD.
• Deep understanding of computer science fundamentals, including algorithms, data structures, distributed systems, and data modeling.
• Hands-on experience shipping production work with AI coding agents and assistants (Claude Code, Cursor, Copilot, or similar), and the judgment to ve