Jobs in the United States

25+ jobs

Added 8 mins ago
IR
Digital Workplace Platform Administrator
International Rescue Committee
Remote, United States
- $88,277 to $102,451 USD / year
…need for someone to own the technical layer underneath it: the systems, integrations, and infrastructure that make AI tools work at…
Added 12 mins ago
Senior Associate Engineer - Mechanical
McKinstry Company
Missoula, MT
Our team is growing! We are currently seeking a Senior Associate Engineer - Mechanical to join our Engineering and Design divison in Missoula, MT. Engineers at McKinstry are unsurpassed in…
Added 12 mins ago
Senior Mainframe z/OS Engineer (Remote/ Work from Home)
First National Bank of Omaha
Billings, MT
The Mainframe Senior Engineer Position is part of a managed services engineering team. The Mainframe Senior Engineer is responsible for maintaining customer environments and solving…
Added 12 mins ago
Staff Machine Learning Engineer - Mapping
General Motors
Helena, MT
Our Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, ML-driven map reconstruction pipelines powered by…
Added 12 mins ago
PN
Electrical Engineer 3
Pacific Northwest National Laboratory
Helena, MT
- $122,100 USD / year
The Operational Systems Engineering group within the Earth Systems Science Division seeks a mid-career Electrical Engineer to support research, development, and deployment activities…
Added 12 mins ago
AT
Network Infrastructure Engineer II
Akamai Technologies, Inc.
Helena, MT
- $83,200 to $149,800 USD / year
As a Network Infrastructure Engineer II, you will oversee operations in our global data centers. You will monitor and maintain our data centers, networks, and servers worldwide. You will…
Added 12 mins ago
Platform Infrastructure Engineer
Maximus
Helena, MT
Maximus is seeking a highly skilled individual to join our team as a Platform Infrastructure Engineer. You will be responsible for the deployment and maintenance of several platforms…
Added 12 mins ago
Mainframe Technical Engineer
Highmark Health
Helena, MT
…z/OS, SMP/E, COUPLING FACILITY technical ecosystem including infrastructure, systems, networks, applications, integrations, etc. They will work closely with other technical professionals,…
Added 12 mins ago
CNC Cut Table Operator
Federal Signal
Belgrade, MT
Federal Signal Corporation (NYSE: FSS) builds and delivers equipment of unmatched quality that moves material, cleans infrastructure, and protects the communities where we work and live.…
Added 16 mins ago
Sr. Systems Integration Engineer, Automated Drive
Rivian
Palo Alto, CA
Help stand up integration and test infrastructure for new programs as they come online.
Added 17 mins ago
PN
Senior Software Engineer III
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $133,100 USD / year
We are seeking a Senior Software Engineer to join PNNL's advanced SI engineering team and help build next-generation systems across agentic SI platforms, large-scale data orchestration, and…
Added 17 mins ago
PN
Lead Software Engineer IV
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $161,300 USD / year
An experienced engineer who bridges infrastructure, SI/ML, and production software. You've built highly scalable systems from scratch, led initiatives that matter, and turned complex…
Added 29 mins ago
J
Senior Infrastructure Security Engineer
Jobgether
Remote, United States
- $170,000 to $210,000 USD / year
…transforming traditional insurance operations. As a Senior Infrastructure Security Engineer, you will play a dual role in strengthening cloud infrastructure and establishing robust security…
Added 29 mins ago
Engineering Manager- Data Collection & Scanning
Jobgether
Remote, United States
This is an exciting opportunity to lead a multidisciplinary engineering team building large-scale systems that discover, scan, and collect data from across the Internet. As an Engineering…
Added 31 mins ago
Firmware Engineer - GPU
NVIDIA USA
CA
Improve team software process and core infrastructure by enhancing build systems and regression farms
Added 31 mins ago
A
Entry Level Civil Design Engineer
Actalent
Brooklyn, NY
- $75,000 to $100,000 USD / year
HIRNG: Entry Level Civil Engineer!Job DescriptionWe are seeking a talented Civil Engineer to perform civil design tasks, focusing on roadway geometrics, grading, and drainage systems. This…
Added 37 mins ago
Lead Platform Engineer, AI and DevSecOps
RadarFirst
Remote, United States
RadarFirst is seeking a Lead Platform Engineer, AI & DevSecOps Engineer to lead the next stage of our cloud, security, reliability, and AI operations maturity. This role will own the…
Added 37 mins ago
Staff Software Engineer (AI Native Development)
Payroll Integrations Inc
NY · Carlsbad, CA · Marietta, GA
Staff Software Engineer (AI-Native Development)
Added 41 mins ago
Ground Systems Engineer I, Electrical
Rocket Lab USA
Stennis Space Center, MS
…proven execution history with the Electron program. GROUND SYSTEMS ENGINEER I, ELECTRICAL Based out of Rocket Lab's Test Facility at Stennis Space Center in Mississippi, the Ground Systems…
Added 42 mins ago
Software Engineer II- ECM Specialization
Emergent Holdings, Inc.
Jackson, MS
Added 47 mins ago
TC
Distribution Engineer I
TRC Companies, Inc.
Asheville, NC
- $24.5 to $30 USD / hour
The Distribution Engineer I will be responsible for performing complex detailed design of underground electric distribution systems.
Added 47 mins ago
Senior Environmental Engineer
TRC Companies, Inc.
New York, NY
…and our clients in the power and energy, transportation and infrastructure, environmental, and property and buildings sectors. As part of our team, you’ll discover a world of opportunities…
Added 50 mins ago
Staff Software Engineer - Orders Platform
Owner.com
Remote, United States
We're looking for a Staff Engineer to help own and evolve the core of that platform as we scale to more and more restaurants. You'll work on problems that look very different from a…
Added 53 mins ago
Sr Principal Engineer - 2292
Kioxia
Remote, United States
Sr. Principal Engineer for KIOXIA's Innovation Lab, working on shaping the future of storage architecture, AI infrastructure, and ecosystem partnerships. This role leverages deep expertise…
Added 57 mins ago
Product Engineer
Rinker Materials
Grand Prairie, TX
…to the growth and development of communities. As a Product Engineer, with a Bachelor or Civil Engineering background, you will play a crucial role in the development, improvement, and…

Core Engineer - Software / Applied AI (Multiple Levels)

Denver, CO, United States

This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).

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Job details

Pay: This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).
Posting language: English

Original job description

The Opportunity We’re looking for a Core Engineer focused on Software / Applied AI to build the production AI capabilities that make our edge platform scalable, reliable, and repeatable. You’ll own core pieces of our private AI platform - agentic and multi-agent systems, repeatable AI structures, evaluation and reliability mechanisms, and platform capabilities like auto fine-tuning and runtime optimization of infrastructure and models. This work operates within clear industrial production boundaries: AI can suggest and act only within well-defined limits, and we do not ship AI behavior into industrial production without evaluation, clear ownership, and a way to roll back. You’ll partner with data and infrastructure teams for requirements and feedback, then generalize learnings into platform capabilities that scale across deployments. This is a hands-on role for someone who thrives in a high-ownership setting and wants to build the infrastructure that makes real-world AI possible. What You’ll Do

Build and operate production AI capabilities including agentic and multi-agent workflows, tool calling, orchestration, and repeatable patterns that scale.
Design and implement evaluation, monitoring, and quality systems that make AI behavior measurable, reliable, continuously improving, and safe in production.
Build platform capabilities for private AI, including auto fine-tuning workflows, model/runtime optimization, and performance improvements for inference under real constraints.
Implement safety and operational controls so AI behavior is bounded and production-ready, including policy constraints, approval workflows, auditability, and rollback mechanisms.
Develop pragmatic interfaces and APIs that make AI capabilities easy to integrate across platform services and customer environments.
Improve developer velocity through automation and tooling, using AI tools to accelerate implementation, tests, documentation, and iteration loops, then refining with engineering judgment.
Partner with data and infrastructure teams to ensure the right context reaches inference and agent workflows with predictable latency, reliability, and cost.
For senior roles: mentor engineers, review designs, and raise the technical bar across the organization.

What Success Looks Like

In your first 3 months, you will have:

Shipped at least one production AI capability (agents, evaluation, fine-tuning, or runtime optimization) that improves platform reliability, performance, or usability.
Established a strong evaluation and rollback model for at least one AI workflow operating within industrial production boundaries.
Earned trust through autonomy and execution - becoming a go-to owner for production AI platform capabilities.

In your first year, you will be:

Owning major components of the private AI platform end-to-end, with clear accountability for reliability, performance, and platform adoption.
Shipping repeatable AI structures that compress adoption cycles and scale across deployments (evaluation, guardrails, orchestration, optimization, operational playbooks).
Driving platform evolution through product enhancements grounded in real-world constraints and measurable outcomes, with safe rollout and rollback as a default.

Who You Are

6+ years building and operating production software systems; experience shipping AI-enabled platforms or agentic systems is strongly preferred.
Strong fundamentals in distributed systems, performance, and reliability; comfort owning production services end-to-end (e.g., Docker/Kubernetes deployments, APIs via REST/gRPC, and strong production discipline around rollout and rollback).
Experience building evaluation frameworks, monitoring, and safety/guardrail systems that enable controlled AI behavior in production (e.g., automated eval harnesses, drift/quality monitoring, tracing, and structured telemetry).
Strong engineering craft: clean implementations, thoughtful designs, operational clarity, and strong documentation (e.g., Python and/or TypeScript/Go, FastAPI-style services, and effective testing practices).
Comfort working in ambiguity and making sound trade-offs under real constraints (latency, cost, GPU utilization, and reliability).
Clear communicator and strong collaborator across engineering and commercial teams.
Ownership mindset: outcomes over tasks.

Unique Experiences We Value

Production experience building agentic and multi-agent systems, orchestration layers, and evaluation frameworks with clear reliability goals (e.g., tool calling, workflow orchestration, and evaluation loops that are measurable and repeatable).
Experience designing repeatable AI structures (tool calling, memory/state patterns, policy constraints, safety/guardrails) that can be reused across applications and deployed through stable APIs.
Building fine-tuning workflows and runtime optimization systems for private AI deployments, including performance and cost trade-offs (e.g., inference optimization, batching/caching, GPU efficiency, and vLLM-style serving).
Experience building monitoring and quality systems for AI behavior that enable measurable improvement over time and safe rollback (e.g., offline/online evaluation, tracing, structured logs, metrics, and incident-driven iteration).
Strong systems instincts across data, infrastructure, and security constraints that impact AI in production (e.g., event/data systems like Kafka, operational stores like Postgres/time-series databases, and secure deployment patterns).

Benefits

We work in a high-ownership, real-world startup environment where you’ll move fast, build new systems, and see your impact immediately - what you ship runs in the field and drives measurable customer outcomes.
We work alongside AI every day. Writing static code, docs, or plans “by hand” is no longer accepted - here you’ll use the latest AI tools to iterate and ship faster and to apply AI with our customers at scale.
You’ll take on elite technical challenges at the frontier of infrastructure, including next-generation cloud and IoT, hardware/software/networking in real-world edge environments, the foundation for data and AI inference, and industry-leading secure systems in demanding operational (OT) settings.
You’ll learn fast by working with exceptional teammates and collaborating directly with industry leaders as partners in software, AI, and infrastructure.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).
Total compensation for this role includes equity in your work. You are eligible for meaningful equity through stock options in an early-stage, high-growth company.
You are eligible to participate in company benefit plans, which may include health, dental, and vision coverage, a 401(k) with company match, flexible PTO, paid parental leave, commuter benefits, and relocation and visa support for eligible roles.

Edgescale AI At Edgescale AI, we’re deploying AI in the real world - helping customers apply this technology to unlock transformative productivity gains. Our work sits at the intersection of infrastructure, security, networking, and AI, where reliability and performance are non-negotiable and where solutions demand deep, distributed systems thinking. We’re intensely AI-native. We build with AI, we ship AI, and we use it every day to accelerate how we design, test, deploy, and operate complex systems. If you want to help pave the application of AI in the real world, at global scale, we want to hear from you. Edgescale AI is building an inclusive, merit-based organization. We are an equal opportunity employer and do not discriminate on any legally protected status. We value diversity, inclusion, and a shared passion for creating real-world impact.

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