Jobs in the United States

25+ jobs

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Added 1 min ago
D
Client Growth Strategist
Discovered
Remote, United States
- $45,000 to $70,000 USD / year
Full-stack: SEO and AEO rarely work as isolated tasks. We work across the entire funnel and multiple surface areas to ensure we own the outcome and clients win.
Added 1 min ago
FY
Sr/Staff Mobile Engineer (React Native)
Find Your Talent (FYT)
San Francisco, CA
- $230,000 to $330,000 USD / year
We're looking for a Senior/Staff React Native Engineer to join a high-growth health tech company, where a small, elite team powers a large-scale platform serving hundreds of thousands of…
Added 1 min ago
FY
Sr/Staff Frontend Engineer
Find Your Talent (FYT)
San Francisco, CA
- $230,000 to $280,000 USD / year
We're looking for a senior frontend engineer to join a high-growth health tech company, where a small, elite team powers a large-scale platform serving hundreds of thousands of patients.…
Added 1 min ago
FY
Senior Machine Learning Engineer
Find Your Talent (FYT)
Remote, United States
- $200,000 to $250,000 USD / year
You live in modern tooling - Weights & Biases, HuggingFace, modal, or equivalent - and have strong opinions about what a good ML stack looks like
Added 1 min ago
H
AI Forward Deployed Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
You're comfortable building full-stack solutions from UI to backend
Added 1 min ago
AI Engineer - Voice
Harper
San Francisco, CA
You understand the full voice stack from telephony protocols to WebRTC-based media servers
Added 3 mins ago
Product Engineer
Needletail
United States
As a Product Engineer at Needletail, you will be at the forefront of developing scalable systems that drive our innovative solutions. You will work on cutting-edge projects, particularly in…
Added 5 mins ago
Full Stack React Engineer
Beyondlabs
United States
…a highly skilled team, and we’re looking for a like-minded Full Stack Engineer to join…
Added 6 mins ago
Forward Deployed Engineer
Edgescale AI
Denver, CO
Diagnose issues across the full stack (hardware → network → data → application → AI) and respond quickly to resolve deployment and production challenges.
Added 6 mins ago
Software Engineer Internship (UNPAID)
Holiday World
Remote, United States
…passionate about web development and want to enhance their skills in full-stack development, with a focus on TypeScript, Next.js, React.js, Node.js, Tailwind CSS, Framer Motion, MongoDB,…
Added 7 mins ago
Founding Engineer Persistent Spatial Worlds (Unity + AI)
Phygtl, Inc.
Remote, United States
We are looking for a senior Unity engineer who wants to become a founding technical contributor.
Added 7 mins ago
TH
Staff Software Engineer, Product
Tono Health
Brooklyn, NY
- $180,000 to $275,000 USD / year
Staff-level full stack experience building and operating production systems
Added 7 mins ago
TH
Senior Software Engineer, Product
Tono Health
Brooklyn, NY
- $160,000 to $275,000 USD / year
Senior level full stack experience building and operating production systems
Added 7 mins ago
TH
Senior Software Engineer, Dermatology Inference
Tono Health
Brooklyn, NY
- $180,000 to $325,000 USD / year
…more, catch change earlier and decide faster. You'll own the full path from research idea to production model: developing, training, evaluating and deploying models for dermatology,…
Added 8 mins ago
TT
Product Engineer
True Talent Solutions Partners
San Francisco, CA
- $185,000 to $485,000 USD / year
Build full-stack software that supports a venture capital firm's application pipeline, events, and internal operations. This product engineering role combines engineering, product…
Added 9 mins ago
Software Engineer, Core Product (Contract)
Alpaca Health
New York City, NY
You work across the stack. You lean systems, but you build product when it matters - and at Alpaca, it matters a lot.
Added 10 mins ago
Sr IT Software Engineer
Palo Alto Networks, Inc.
CA
The Senior Software Engineer on the Data & Analytics team will design, build, and support full-stack applications; integrate AI technologies into existing and new applications to deliver…
Added 11 mins ago
BS
Technical Engineering Lead
Bubble Sort Recruiting
New York City, NY
- $175,000 to $200,000 USD / year
Extensive experience on both sides of the stack - able to act as full-stack engineer
Added 11 mins ago
BS
Product Engineer
Bubble Sort Recruiting
San Francisco, CA
- $180,000 to $250,000 USD / year
We’re hiring for full stack and backend roles
Added 11 mins ago
BS
Founding Engineer
Bubble Sort Recruiting
San Francisco, CA
- $120,000 to $200,000 USD / year
1 - 4 years of experience as a full stack, backend, or forward deployed engineer
Added 12 mins ago
CA
Founding Recruiter
Conduit AI
San Francisco, CA
- $140,000 to $185,000 USD / year
Both lanes, one seat. In one week you might screen an agent engineer on retrieval and evals, then qualify an AE on how they actually hit quota.
Added 12 mins ago
Lead Engineer
Gaya
Remote, United States
Full-Stack Development: Contribute to the design and implementation of our back-end services, including managing our in-house APIs, third-party data integrations, and ensuring the…
Added 13 mins ago
Senior Software Engineer (full stack)
IBBX Wireless Energy
United States
Added 14 mins ago
Founding Software Engineer - Fullstack
Snellito Labs
Remote, United States
…role offers a unique chance to grow your skills across the full technology stack, contribute to impactful projects, and work in a collaborative…
Added 14 mins ago
CO
Lead Software Engineer
Connections Outsourcing
Remote, United States
- $180,000 to $255,000 USD / year
5–15 years of professional experience as a full-stack engineer, with proven product ownership.

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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