Jobs in the United States

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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 just now
AI Engineer - Voice
Harper
San Francisco, CA
You understand the full voice stack from telephony protocols to WebRTC-based media servers
Added 5 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 5 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 9 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 10 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 10 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 11 mins ago
Lead Engineer
Gaya
Remote, United States
As a Lead Engineer at Gaya, you will take on a crucial leadership role in shaping our platform's front-end and back-end architecture. You will be instrumental in driving the development of…
Added 13 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.
Added 15 mins ago
SD
Principal Engineer
SunCore Digital
Scottsdale, AZ
- $200,000 to $260,000 USD / year
We are looking for a Principal Engineer to own the architecture of our platform and lead it through its next stage. This is one role with three responsibilities in sequence. First, a…
Added 16 mins ago
AI Full Stack Engineer (Volunteer)
Solution Community
Remote, United States
Volunteer AI Full Stack Engineer (AI-Native / Rapid Development)
Added 21 mins ago
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Chief Technology Officer (Tech - Founding Pillar)
Gradientflo Labs
San Francisco, CA
- $40,000 to $60,000 USD / year
You’ll manage and mentor a 7-person founding engineering team (PM, FE, BE, Full Stack, AI, Prompt, DevOps, QA) while also representing Vibecoderz’ technology to investors, partners, and the…
Added 23 mins ago
Support Engineer Internship
Metasys
Remote, United States
The Support Engineer / Customer Success role is the primary technical interface for our users. You'll provide timely, expert technical support to both our e-commerce customers and internal…
Added 23 mins ago
Security Engineer Internship
Metasys
Remote, United States
The Security Engineer is a critical role responsible for implementing and enforcing robust security practices across our entire integrated supply chain e-commerce platform. You will…
Added 23 mins ago
DevSecOps Engineer Internship
Metasys
Remote, United States
The DevSecOps Engineer is responsible for automating, integrating, and enforcing security controls throughout the entire development lifecycle, from code commit to production deployment.…
Added 23 mins ago
DevOps Engineer Internship
Metasys
Remote, United States
The DevOps Engineer is responsible for automating, streamlining, and maintaining the infrastructure and deployment pipelines for our entire integrated platform. You'll ensure rapid,…
Added 23 mins ago
Backend Engineer Internship
Metasys
Remote, United States
The Backend Engineer is a hands-on role responsible for the development, scaling, and maintenance of the core API services that power our entire integrated platform. You will build highly…
Added 24 mins ago
Senior Software Engineer, Custody
Prospex CRM
United States
You are a senior backend engineer with a custody and key-management background. You will be a foundational engineer on the company's custody platform, reporting to the Custody Platform Lead.
Added 30 mins ago
Mechanical Engineer IV
Applied Materials, Inc
Santa Clara, CA
The Mechanical Design Engineer IV (E4) will lead the design, development, qualification, and lifecycle improvement of PVD chamber hardware, vacuum subsystems, pedestals, ESCs, process kits,…
Added 50 mins ago
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AWS Connect Systems Engineer
TEKsystems
Scottsdale, AZ
- $50 to $70 USD / hour
We are seeking a Senior Systems Engineer to serve as a lead technical resource for enterprise Amazon Connect and Microsoft Teams Phone environments. This individual will design, implement,…
Added 58 mins ago
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Technical Program Manager, Research Compute Services
OpenAI
San Francisco, CA
- $207,000 to $285,000 USD / year
…Compute Infrastructure to support workloads across the compute stack, including pretraining, synthetic data generation, sampling, research inference, and reinforcement…
Added 2 hours ago
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Server Engineer Lead
TEKsystems
Oshkosh, WI
- $92,000 to $154,000 USD / year
DescriptionThe Server Engineer Lead will provide technical leadership for enterprise virtualization infrastructure, participate in long-term architecture planning, and support strategic…
Added 2 hours ago
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Sensor Technology Engineer
Wayve
United States
- $209,700 to $238,250 USD / year
You’ll join Wayve’s Product & Delivery (P&D) organization, working within the Sensor Architecture team to help define and integrate the sensor systems behind our end-to-end autonomy stack.
Added 2 hours ago
Software Systems Engineer, Data Labeling Engineering - Early Career
General Motors LLC
Sunnyvale, CA
We own a modern full‑stack architecture including TypeScript/React, Python, GraphQL, Golang, and ML model services, which powers data‑annotation pipelines and machine‑led training data…
Added 2 hours ago
AI Engineer (AI Accelerator Program)
UCSF
San Francisco, CA
UCSF Health is seeking a highly skilled AI Engineer to design, build, and deploy scalable AI-driven applications that improve clinical operations, patient care, and health system…

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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