Jobs in the United States

25+ jobs

Added 24 mins ago
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Software Engineer Lead
Jobgether
Remote, United States
- $105,000 to $135,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer Lead based in the United States.
Added 24 mins ago
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Senior Machine Learning Engineer, Inference
Jobgether
Remote, United States
- $250,000 to $300,000 USD / year
…language model (LLM) technology. As a Senior Machine Learning Engineer, you will own inference optimization from research through production deployment, helping bring sophisticated models…
Added 28 mins ago
Principal Electrical Engineer
Oracle
Santa Clara, CA · Burlington, MA
Oracle's Hardware Development Organization seeks to add an experienced On-Board Power Engineer to work within our Server Development team in Santa Clara, California or in Burlington MA. As…
Added 28 mins ago
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Senior Network Developer
Oracle
Seattle, WA · Nashville, TN · Redwood City, CA · Santa Clara, CA · Reston, VA
- $91,400 to $187,000 USD / year
As a Sr Network Development Engineer, you will be responsible for helping design, build, test, deploy and operate highly scalable solutions to support Oracle’s next-generation Cloud…
Added 40 mins ago
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Engineer, Water Resources
Department of Water Resources
CA
- $6,488 to $12,152 USD / month
…Valley Project (CVP) as well as much of the water resources infrastructure in the Central Valley of California and Sacramento-San Joaquin Delta region. Central Valley Modeling Section (CVM)…
Added 43 mins ago
Hardware/Software Co-Design Engineer, Inference
Google
Sunnyvale, CA
…high-performance, and power-efficient accelerators.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by…
Added 53 mins ago
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Member of Technical Staff, Product Security
Inferact
San Francisco, CA
- $200,000 to $400,000 USD / year
…without adding risk. You'll work closely with the inference, infrastructure, product, and forward-deployed engineering teams, and with the engineer who owns vLLM vulnerability management…
Added 57 mins ago
Senior Software Engineer - Cloud SaaS - IE&A
Jobgether
Remote, United States
…and next steps. Our partner is looking for a Senior Software Engineer – Cloud SaaS – IE&A based in the United…
Added 57 mins ago
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Senior Data Engineer
Jobgether
Remote, United States
- $130,000 to $200,000 USD / year
We are seeking an experienced Senior Data Engineer to help build, operate, and optimize the data infrastructure powering analytics and business intelligence across global markets. In this…
Added 57 mins ago
Cloud Security Engineer
Jobgether
Remote, United States
The Cloud Security Engineer will play a key role in strengthening and maintaining security across enterprise cloud environments, with a primary focus on AWS and Microsoft Azure, alongside…
Added 1 hour ago
SDE II, Perception and SLAM, Autonomous Mobility
Amazon
North Reading, MA
…robot. We are looking for an enthusiastic Software Development Engineer to join our perception, localization, and machine learning team. You will be part of an exceptional group of…
Added 1 hour ago
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Electrical Engineer
Pfizer
Andover, MA
- $82,700 to $137,900 USD / year
Support electrical capital and infrastructure projects through design reviews, field investigations, construction support, commissioning, and project closeout activities.
Added 1 hour ago
Power System Controls Engineer – Data Centers
Jacobs
Boston, MA
Jacobs’ Energy & Power business is seeking a Power System Controls Engineer to support conceptual planning, design, modeling, integration, and validation of Data Center controls ecosystem…
Added 1 hour ago
ASIC Design Verification Engineer, Google TPU
Google
Sunnyvale, CA
As an ASIC Design Verification Engineer, you will use design and verification expertise to perform direct verification in active projects using problem-solving skills.
Added 1 hour ago
Staff Software Engineer, Cloud ML Compute Services
Google
Kirkland, WA
5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
Added 1 hour ago
Senior Design Manager (Data Center)
Jacobs
Chandler, AZ
At Jacobs, we are helping clients deliver the next generation of AI, cloud, hyperscale, and high-performance computing infrastructure. We are seeking a Senior Design Manager - AI Data…
Added 1 hour ago
J
Lead Site Reliability Engineer
Jobgether
Remote, United States
- $150,000 to $175,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Site Reliability Engineer based in the United States.
Added 1 hour ago
IG
Automation Engineer (Terraform)
Insight Global
Tucson, AZ
- $65 to $75 USD / hour
…high‑visibility initiative.We are seeking a hands‑on Cloud Automation & Infrastructure Engineer to join a small, highly technical platform team supporting enterprise‑scale infrastructure…
Added 1 hour ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 1 hour ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 1 hour ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 1 hour ago
DS
(1119604) Lead Software Engineer - Emerging Technologies
Diversified Services Network, Inc.
Remote, United States
- $140,000 to $145,000 USD / year
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or…
Added 1 hour ago
SS
Windows Systems Engineer
Samsung SDS America
Plano, TX
- $135,000 to $147,000 USD / year
We are seeking a Senior Microsoft Exchange and Active Directory Engineer to design, implement, maintain, and optimize enterprise messaging and directory services to ensure secure, highly…
Added 1 hour ago
SS
VMWare Engineer
Samsung SDS America
Plano, TX
- $156,000 to $166,000 USD / year
We are seeking a VMware Engineer to manage, maintain, and optimize enterprise virtualized environments, including VMware ESXi, vCenter, Horizon View, and end-user virtual desktop…
Added 1 hour ago
SS
Linux Engineer
Samsung SDS America
Plano, TX
- $156,000 to $166,000 USD / year
We are seeking a Linux Infrastructure Engineer to manage, optimize, and secure enterprise Linux environments across on-premises data centers and public cloud platforms. This role focuses on…

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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