Jobs in the United States

25+ jobs

Added 11 mins ago
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Assistant Attorney General/Senior Assistant Attorney General - NRE, Water Resources
State of Colorado
Denver, CO
- $89,964 to $150,556 USD / year
…Water Resources (DWR), which includes the Office of the State Engineer, the seven Division Engineers of Colorado’s seven Water Divisions (South Platte, Arkansas, Rio Grande, Gunnison,…
Added 23 mins ago
Senior Lead Engineer - Design Verification
Altera Corporation
San Jose, CA
Altera is seeking a Senior Lead Engineer - Design Verification to provide hands-on technical leadership for the verification of next-generation FPGA, programmable SoC, and platform…
Added 46 mins ago
Data Center Electrical Engineer
Google
Bridgeport, CT
…impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities…
Added 1 hour ago
Senior Knowledge Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Knowledge Engineer based in the United States.
Added 1 hour ago
Consultant, Data Engineer - Reference Data Management
AB3 Nationwide Life and Annuity Insurance Co
OH · AZ
…ownership stays with the domain; your contribution is the technical implementation and operation of the…
Added 1 hour ago
Senior Technical Engineering Leader - Guidewire PolicyCenter & Policy Lifecycle
MAPFRE Insurance
Webster, MA
Mapfre is seeking a Senior Technical Engineering Leader to provide technical leadership for our Guidewire PolicyCenter platform and Policy Lifecycle ecosystem . This role will be…
Added 1 hour ago
Staff Engineer - Software Engineering
Capital One
Cambridge, MA
As a Staff Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.
Added 1 hour ago
Systems Engineer - Level 5 IPT Lead
Northrop Grumman
Chandler, AZ
We are seeking a highly experienced Senior Systems Engineer to lead complex systems engineering efforts on advanced missile programs. This role will own major trade studies, develop and…
Added 1 hour ago
Senior FPGA Engineer / Onsite / Chandler
Kelly Services
Chandler, AZ
A leading global telecommunications and satellite communications company is hiring a Senior FPGA Engineer for a full-time opportunity onsite in Chandler, Arizona. This organization develops…
Added 1 hour ago
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Systems Architect - Manning - Information Systems Systems
El Rio Community Health Center
Tucson, AZ
- $47.06 to $77.6 USD / hour
Includes all duties of Senior technical staff (Systems Analyst, Systems Engineer, Network Technician, Network Engineer, etc.), as appropriate.
Added 2 hours ago
Data Engineer
Deep Digital Solutions Group
United States
Job Description: Deep Digital are seeking a highly skilled and experienced Senior Data Engineer with a proven track record in successfully implementing, optimizing, and maintaining the data…
Added 2 hours ago
Head of Forward Deployed Engineering
Newcode.ai
Chicago, IL
Client delivery takes place in pods comprising a senior legal engineer, a forward-deployed engineer, and an account manager focused on retention and expansion. The senior legal engineer…
Added 2 hours ago
Associate Director, Power Systems Engineering
Scout Clean Energy
Boulder, CO
…company's Power Systems Engineering function and serve as Scout's senior technical authority for electrical systems across utility-scale wind, solar, and battery energy storage projects.…
Added 2 hours ago
Senior Director, Engineering
Scout Clean Energy
Boulder, CO
As Senior Director, Engineering, you will lead Scout's Engineering organization within the Technical Services department, and be responsible for the execution, management, and continuous…
Added 2 hours ago
Forward Deployed Engineer
Newcode.ai
Chicago, IL
Sit with clients alongside the senior legal engineer and map how a piece of work gets done today: the inputs, the decisions, the exceptions, and who signs off.
Added 2 hours ago
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Senior Software Engineer
Source
Remote, United States
- $155,000 to $175,000 USD / year
Senior Software Engineer (Backend or Full-Stack)
Added 2 hours ago
Senior Software Engineer
C-Gen.AI
Mountain View, CA
We are seeking a highly skilled and experienced Senior Software Engineer to join our dynamic team in Mountain View, CA. This role requires a seasoned professional with a deep understanding…
Added 2 hours ago
EA
Senior Product Engineer (India)
Elm AI
Remote, United States
- ₹3,500,000 to ₹7,000,000 INR / year
We’re hiring a Senior Product Engineer to help build Elm AI's core product and agent workflows.
Added 2 hours ago
Senior Principal Software Engineer (Python) – Founding Engineer - Seattle
Solvin AI
WA · Seattle, WA
As a Founding Engineer, you will be a cornerstone of our technical team. You will have a pivotal role in designing, building, and deploying the foundational elements of our product. We're…
Added 2 hours ago
Senior Software Engineer
Marble Technologies
Lincoln, NE · Omaha, NE
Marble is a technology company founded to revolutionize the food processing industry. Marble is seeking a full-time Senior Software Engineer who is ready for a challenge and eager to…
Added 2 hours ago
Senior Micro-Segmentation LAN Engineer
Cinter Career
Plano, TX
・Job Title: Senior Micro-Segmentation LAN Engineer
Added 2 hours ago
Staff/Senior Backend Engineer
Casap
San Francisco, CA
Casap is looking for a talented Backend Engineer in San Francisco excited to supercharge how banks operate with a rapidly scaling product at the forefront of automation and Artificial…
Added 2 hours ago
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Senior Software Engineering Manager
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
We are seeking a Senior Software Engineering Manager to help shape the future of Microsoft’s AI talent and build transformative, AI-powered experiences for our customers.
Added 2 hours ago
Industrial Hygienist - Sr . Principal Engineer EHS
CORP-Corporate Office
United States
Northrop Grumman Aeronautics Systems has an opening for a Sr. Principal Engineer EHS to join our team of qualified, diverse individuals. This position will be located in St Augustine, FL.
Added 2 hours ago
M
Senior Cloud Network Engineer
Microsoft
United States
- $119,800 to $261,000 USD / year
As a Senior Cloud Network Engineer in the Azure Dedicated Team, you will design and operate Network Fabrics for both traditional ethernet networks and back-end networks such as RDMA 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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