Jobs in the United States

25+ jobs

Added 11 mins ago
Lead Agentic AI Offensive Security Engineer
Hewlett Packard Enterprise
Spring, TX · San Jose, CA · Durham, NC · Andover, MA · Fort Collins, CO · Frisco, TX
HPE’s Cybersecurity team is seeking a Lead Agentic AI Engineer to design, enhance and support the technical direction of our AI-Enabled Offensive security organization. Using your expertise…
Added 14 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 19 mins ago
Ground Systems Engineer I, Electrical
Rocket Lab USA
Stennis Space Center, MS
…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 19 mins ago
Staff Machine Learning Engineer - Mapping
General Motors
Jackson, MS
We are looking for a Staff Machine Learning Engineer to serve as a technical leader for automated map reconstruction within our Mapping Engineering team.
Added 19 mins ago
Senior Analyst, Compliance Technology
Coinbase
Jackson, MS
We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable…
Added 19 mins ago
PN
Electrical Engineer 3
Pacific Northwest National Laboratory
Jackson, MS
- $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 19 mins ago
C
Lead Data Engineer-Snowflake
Cognizant
Jackson, MS
- $115,000 to $135,000 USD / year
As a Lead Data Engineer – Snowflake , you will make an impact by designing and delivering scalable, high-performance data solutions that enable critical business insights and operational…
Added 19 mins ago
STA Technical Specialist - Electronics
Ford Motor Company
Jackson, MS
Bachelor of Science/Engineering or academic equivalent Engineer. Equivalent relevant experience will be considered.
Added 19 mins ago
Sr Site Reliability Engineer -Remote US
SitusAMC
Jackson, MS
Experience with Git for version controls, Azure DevOps preferably
Added 20 mins ago
Platform Engineer - Remote
SitusAMC
Jackson, MS
…understanding of CI/CD, Git workflows, Agile delivery, security controls, reporting, and user…
Added 20 mins ago
Advanced Lead Supplier Quality Engineer - Composites
GE Aerospace
Jackson, MS
The Supplier Quality Engineer for Polymer Matrix Composites is an individual who can apply knowledge of RCCA and/or problem solving to lead supplier quality improvement of complex cross…
Added 20 mins ago
EG
Workday Adaptive Planning Engineer
Eliassen Group
Jackson, MS
- $65 to $75 USD / hour
Our client is seeking a Workday Adaptive Planning Engineer to design, build, and maintain financial planning and forecasting solutions. The role partners with FP&A, Accounting, and Finance…
Added 28 mins ago
EG
Workday Adaptive Planning Engineer
Eliassen Group
Providence, RI
- $65 to $75 USD / hour
Our client is seeking a Workday Adaptive Planning Engineer to design, build, and maintain financial planning and forecasting solutions. The role partners with FP&A, Accounting, and Finance…
Added 32 mins ago
EG
Workday Adaptive Planning Engineer
Eliassen Group
Carson City, NV
- $65 to $75 USD / hour
Our client is seeking a Workday Adaptive Planning Engineer to design, build, and maintain financial planning and forecasting solutions. The role partners with FP&A, Accounting, and Finance…
Added 41 mins ago
Data Engineer
HCA Healthcare
Brentwood, TN
Do you want to join an organization that invests in you as a Data Engineer? At Parallon, you come first. HCA Healthcare has committed up to $300 million in programs to support our…
Added 42 mins ago
Project Engineer
ManpowerGroup
Memphis, TN
Our client, a leading food processing and packaging organization, is seeking a Project Engineer to join their team. As a Project Engineer, you will be part of the Engineering organization…
Added 42 mins ago
A
AI - Cybersecurity Forward Deployed Engineer - FDE Senior Manager
Accenture
Nashville, TN
- $132,500 to $366,300 USD / year
…not a pen test engagement. A Cybersecurity Forward Deployed Engineer is a production engineer who works embedded inside a client’s enterprise - shoulder to shoulder with their security and…
Added 42 mins ago
O
Senior Platform Software Engineer, AI
Oracle
Nashville, TN
- $92,500 to $209,500 USD / year
We are seeking a Senior Platform Software Engineer to design, build, and operate scalable services that improve the developer experience and increase engineering productivity. You will work…
Added 42 mins ago
Senior Controls Integration Engineer, Worldwide Design and Engineering
Amazon
Nashville, TN
WWDE is looking for a Senior Controls Integration Engineer to be part of our global team to deliver the next generation of world-class fulfillment systems. Successful candidates are natural…
Added 42 mins ago
A
Cybersecurity AI Forward Deployed Engineer - FDE - Manager
Accenture
Nashville, TN
- $94,400 to $316,300 USD / year
…not a pen test engagement. A Cybersecurity Forward Deployed Engineer is a production engineer who works embedded inside a client’s enterprise - shoulder to shoulder with their security and…
Added 1 hour ago
Senior Software Quality Engineer
St. Jude Medical, Cardiology Division, I
CA
Participate in change impact assessments by evaluating the impact of software changes on product requirements, risk controls, testing, system performance, and regulatory compliance.
Added 1 hour ago
Kubernetes Engineer - Active TS/SCI with CI Poly
ENS Solutions, LLC
Reston, VA
7+ years of experience as a cybersecurity engineer specializing in designing and building implementations of required security controls and implementing continuous monitoring and auditing…
Added 1 hour ago
IR
Mechanical Engineer
Icarus Robotics
New York, NY
- $120,000 to $180,000 USD / year
…and flight hardware. This is a hands-on design role for an engineer who has already shipped hardware and wants to own more of it. You will put a robot in…
Added 1 hour ago
IR
Electrical Engineer
Icarus Robotics
New York, NY
- $120,000 to $180,000 USD / year
…generalist, with a focus on board design and avionics, and suits an engineer who has already shipped hardware and wants broad ownership. You will put a robot in…
Added 1 hour ago
Software Engineer / Application Developer
American Operations Corporation
Montgomery, AL
…changes align to operational mission requirements, cybersecurity controls, DevSecOps governance, and release-readiness…

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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