Jobs in the United States

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Added 3 mins ago
Security Engineer
American Cyber
Remote, United States
Strong understanding of networking concepts and protocols, operating systems (Windows, Linux, macOS), and core security principles
Added 3 mins ago
Incident Response Engineer
American Cyber
Remote, United States
Strong understanding of Windows, Linux, and macOS operating systems; file systems; and common network protocols
Added 4 mins ago
Principal Core Engineer - Infra / SRE
Edgescale AI
Denver, CO
…and operational automation (e.g., Kubernetes-based platforms, Linux systems, and automation through…
Added 4 mins ago
Forward Deployed Engineer
Edgescale AI
Denver, CO
Experience operating in complex environments across infrastructure, networking, security, data systems, and/or production AI (e.g., Linux, Docker/Kubernetes, REST/gRPC APIs, and modern…
Added 13 mins ago
Junior Software Engineer
Mibura Inc.
Mountain View, CA
Join Mibura Inc, a disruptive cloud platform company, as a Junior Software Engineer and help build the next generation of distributed computing infrastructure. We’re looking for individuals…
Added 15 mins ago
SD
Senior DevOps Engineer (Security)
SunCore Digital
Scottsdale, AZ · Bellevue, WA
- $130,000 to $145,000 USD / year
…throughout the southwest. We seek a motivated Senior DevOps Engineer (Security) with an unstoppable drive for excellence and the well-deserved rewards that come with it. Alongside a…
Added 15 mins ago
Dev/Sec/Ops and Threat Engineering Specialist
SunCore Digital
Scottsdale, AZ · Bellevue, WA
…infrastructure, support our web and mobile app ecosystem, and ensure our systems remain resilient as we scale. You will also support the secure build-out of SunCore’s dashboard, mobile app,…
Added 15 mins ago
TS
Principal/Staff HPC Network Engineer
The San Francisco Compute Company
San Francisco, CA
- $250,000 to $325,000 USD / year
- You have experience with Linux systems administration including managing kernel drivers and tuning the network stack
Added 16 mins ago
Software Engineer, Robotics
Deccan AI
San Francisco, CA
Software Engineer, Robotics & VLA Systems Mountain View, CA · Full-Time · Physical AI Team
Added 16 mins ago
Software Engineer (TS/SCI CI Poly Required)
Community Talent Partners
Alexandria, VA · Annapolis, MD · Aurora, CO · San Diego, CA
As a Software Engineer, you will join a high-performing agile team supporting secure enterprise systems. You will be involved in the full software development lifecycle, utilizing Scaled…
Added 21 mins ago
UI
Test Engineer
Ulysses Inc.
San Francisco, CA
- $110,000 to $160,000 USD / year
…developing autonomous surface and subsea drones, robotics, and AI systems to tackle critical challenges across nature, infrastructure, and maritime security. Our first product line is a…
Added 21 mins ago
UI
Software Engineer
Ulysses Inc.
San Francisco, CA
- $180,000 to $260,000 USD / year
As a Software Engineer at Ulysses, you will own core aspects of the software platform that powers our fleet of autonomous underwater robots - the systems that make them reliable,…
Added 21 mins ago
UI
PNT Software Engineer
Ulysses Inc.
San Francisco, CA
- $180,000 to $260,000 USD / year
…domain on the planet. We're changing that - building autonomous systems that collapse the cost of ocean operations by orders of magnitude so that persistent coverage becomes the baseline,…
Added 23 mins ago
HPC Engineer/Architect
Comspark group
New York, NY
You will support day-to-day operations of large-scale parallel file systems, deploy and maintain Linux HPC infrastructure across multiple data centers, and assist HPC engineers and…
Added 25 mins ago
ET
Systems Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $85,000 to $135,000 USD / year
We are seeking a skilled and motivated Systems Engineer to join our growing technology team. The ideal candidate will be responsible for designing, implementing, maintaining, and optimizing…
Added 25 mins ago
ET
Go Developer (Golang)
EdgeQ Technologies Private Limited
Austin, TX · Texas City, TX · New York City, NY · San Francisco, CA
- $85,000 to $155,000 USD / year
…APIs, microservices, cloud-based applications, and distributed…
Added 25 mins ago
ET
Firmware Engineer (US)
EdgeQ Technologies Private Limited
Dallas, TX · New York City, NY · Seattle, WA · San Francisco, CA
- $75,000 to $120,000 USD / year
We are seeking a motivated Firmware Engineer to develop, test, debug, and maintain firmware for embedded devices and connected hardware products. The ideal candidate will have a strong…
Added 25 mins ago
ET
Embedded Software Engineer (US)
EdgeQ Technologies Private Limited
San Jose, CA · Seattle, WA · Washington, DC
- $85,000 to $135,000 USD / year
We are seeking a skilled Embedded Software Engineer to design, develop, test, and maintain software for embedded systems and connected devices. The ideal candidate will have experience in…
Added 25 mins ago
ET
Database Administrator (DBA)
EdgeQ Technologies Private Limited
Remote, United States
- $90,000 to $140,000 USD / year
Install, configure, administer, and maintain database management systems.
Added 25 mins ago
ET
Build and Release Engineer
EdgeQ Technologies Private Limited
Seattle, WA · New York City, NY
- $100,000 to $165,000 USD / year
We are seeking an experienced Build and Release Engineer to manage, automate, and optimize software build, deployment, and release processes. The ideal candidate will have strong experience…
Added 31 mins ago
Software Engineer, Fleet Systems
Humble Robotics
United States
Experience with Linux systems, command-line tools, and software debugging.
Added 36 mins ago
Infrastructure Engineer I (Onsite)
RTX
United States
Typical job functions for the Infrastructure Engineer I include participation on collaborative, cross-disciplined integrated product teams, often employing agile software development…
Added 39 mins ago
Software Engineer 2 – Wireless Access Point Development
Hewlett Packard Enterprise
Cupertino, CA · Sunnyvale, CA
Deep experience with Linux kernel and OS development.
Added 39 mins ago
Software Engineer 2 – Wireless Access Point Development
Hewlett Packard Enterprise
Cupertino, CA · Sunnyvale, CA
Deep experience with Linux kernel and OS development.
Added 43 mins ago
Site Reliability Engineer - Tampa (Hybrid)
Hearst
Tampa, FL
MHK is hiring for a technically savvy Site Reliability Engineer (SRE) who will help ensure the reliability, availability, scalability, and performance of our healthcare technology…

Edgescale AI

Forward Deployed Engineer

Denver, CO, United States

This role has a base salary range of $145,000–$200,000.

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Job details

Pay: This role has a base salary range of $145,000–$200,000.
Posting language: English

Original job description

The Opportunity We’re looking for a Forward Deployed Engineer (FDE) to accelerate the application of AI in real-world environments by embedding with customers and partners to deliver high-impact deployments that drive measurable customer value. You’ll own end-to-end delivery of customer outcomes using our AI systems and edge platform - wielding a wide range of technologies across hardware, networking, sensors, data systems, and AI. You’ll integrate deeply into customer environments to compress adoption cycles, iterate based on real needs, and capture product enhancements that improve the platform for future deployments. This role operates at the edge of the platform, not inside its core. You have full authority over field deployment and configuration decisions through the platform’s controlled execution and release mechanisms. This is a hands-on role with 25-50% travel for someone who thrives in a high-ownership setting and wants to build and deploy the infrastructure that makes real-world AI possible. What You’ll Do

Own the design, deployment, and iteration of customer-facing solutions from initial problem definition through production rollout, adoption, and expansion.
Deliver measurable outcomes by traveling to customer sites 25-50% of the time and working closely with customer teams and embedded partner teams.
Deploy and operate our platform in real-world environments, including edge hardware, networking, connectivity, sensors, data flows, and AI inference.
Build integrations and tooling to connect customer systems (OT/IT), data sources, and workflows into production-grade applications.
Diagnose issues across the full stack (hardware → network → data → application → AI) and respond quickly to resolve deployment and production challenges.
Capture learnings from deployments and translate them into repeatable playbooks, scalable patterns, and product enhancements - using our AI-native workflow to direct AI tools to generate drafts, implementations, and artifacts quickly, then refine with engineering judgment.
Communicate clearly with technical and non-technical stakeholders and lead working sessions that drive decisions and execution.

What Success Looks Like

In your first 3 months, you will have:

Taken full ownership of at least one customer account and delivered a clear, measurable improvement in real-world customer value.
Built strong context on customer constraints and operational realities and used it to make sound trade-offs across product, systems, and delivery.
Earned trust through autonomy, responsiveness, and high-quality execution - becoming the person teams rely on to move deployments forward.

In your first year, you will be:

Independently owning multiple deployments or a strategic account end-to-end, consistently compressing adoption cycles and driving measurable outcomes.
Creating repeatable deployment patterns that materially reduce delivery friction and improve speed-to-value across customers and partners.
Feeding a steady stream of product improvements back into Engineering, helping evolve the platform based on real-world constraints and learnings.

Who You Are

5+ years building and operating production software or systems, ideally in customer-facing or delivery-oriented roles.
Experience operating in complex environments across infrastructure, networking, security, data systems, and/or production AI (e.g., Linux, Docker/Kubernetes, REST/gRPC APIs, and modern observability tooling).
Strong engineering craft: clean implementations, thoughtful designs, operational clarity, and strong documentation (e.g., Python and/or Go, shell scripting, and reliable integration practices).
Comfort working in ambiguity and making sound trade-offs, especially when timelines and constraints are real.
Clear communicator and strong collaborator across technical and non-technical stakeholders.
Ownership mindset: outcomes over tasks; you naturally take responsibility for delivery, adoption, and customer value.

Unique Experiences We Value

Delivering complex deployments end-to-end and turning one-off wins into repeatable patterns (e.g., deployment playbooks, runbooks, and reusable configuration templates).
Hands-on experience with edge or hybrid systems across hardware, networking, connectivity, and containerized software environments (e.g., VPNs, TLS, firewalls, LTE/5G/Wi-Fi, and Kubernetes deployments).
Deep comfort diagnosing and solving cross-stack issues in production environments (e.g., logs/metrics/traces, packet capture, network debugging, and performance profiling).
Production experience applying modern AI systems (LLMs, agents, inference) in real customer workflows under real constraints (latency, bandwidth, reliability, and security).
Experience embedding with customer and partner engineering teams to align multi-party delivery toward measurable outcomes.

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 has a base salary range of $145,000–$200,000.
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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