Jobs in the United States

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Added 3 mins ago
Forward Deployed Engineer III, Data Cloud, Google Cloud
Google
San Francisco, CA · Austin, TX · Chicago, IL · Kirkland, WA · New York, NY · Seattle, WA · Sunnyvale, CA
As a Forward Deployed Engineer (FDE) on our Data Cloud team, you will be an embedded builder who bridges the gap between frontier data solutions and production-grade reality for customers.…
Added 16 mins ago
ZE
Product Engineer (Remote - US CT/ET)
Zen Educate
Remote, United States
- $130,000 to $190,000 USD / year
We are a small, but mighty team and so every engineer has the opportunity to make an outsized impact and put their stamp on what excellence looks like in practice. What do I mean by…
Added 16 mins ago
DRAM Process Integration Engineer
Micron Technology, Inc.
Boise, ID
As a Process Integration Engineer, you will help define the future of memory technology by identifying novel solutions to scaling, performance, and power challenges in advanced…
Added 16 mins ago
SR. INDUSTRIAL ENGINEER - DEG PE
Micron Technology, Inc.
Boise, ID
Lead alignment across multiple functions on product development demand, forecasts, and execution
Added 16 mins ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Boise, ID
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 17 mins ago
Senior Systems Engineer
Anduril Industries
Costa Mesa, CA
Anduril is seeking a Senior Systems Engineer to join our rapid growing team in Costa Mesa, CA. As a Senior Systems Engineer on the Maneuver Dominance team, you’ll be the technical authority…
Added 22 mins ago
Senior Java Engineer - Security - Elasticsearch
Elastic
United States
…authorization, and tenant isolation. You will work with engineering and product leaders at Elastic. Your goal is to participate in providing high-performance security at all levels. This…
Added 26 mins ago
P
Machine Learning Engineer Intern - Summer 2027
PayPal
San Jose, CA
- $50 to $59 USD / hour
As a Machine Learning Engineer Intern, you will work alongside experienced engineers, data scientists, and product teams to explore and build machine learning solutions. You’ll contribute…
Added 31 mins ago
Engineer 1/2 Process Development
Illumina US Manufacturing Operations, Inc.
United States
As a Process development engineer , you will collaborate with field and MFG teams to bring the voice of the customer into the factory and improve MFG & field processes. You will provide…
Added 44 mins ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Juneau, AK
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 44 mins ago
FT
Associate Software Engineer - Full Stack Developer
Franklin Templeton
Baltimore, MD
- $100,400 to $118,200 USD / year
You will collaborate with software engineers, platform engineers, product teams, designers, and other stakeholders to understand requirements and deliver application capabilities.
Added 55 mins ago
GPS Engineer
Applied Materials
Santa Clara, CA · Santa Clara
Represent the voice of the field in engineering reviews, product development discussions, and reliability improvement initiatives.
Added 1 hour ago
VP of Engineering
Jobgether
Remote, United States
…executive leadership, you will help transform an early-stage product into a scalable solution supporting major health systems and pharmacy partners. You will oversee full-stack product…
Added 1 hour ago
Site Reliability Manager, Android SRE
Google
San Francisco, CA
To learn more: check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.
Added 1 hour ago
Senior Software Engineering Manager, AI/ML
Google
San Francisco, CA
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical…
Added 1 hour ago
Senior Staff Hardware Engineer Technical Lead, AI Infrastructure
Google
Sunnyvale, CA
Experience directing the full hardware product lifecycle from early concept to high-volume deployment.
Added 1 hour ago
Lead MV Electrical Engineer, PE - Power & Infrastructure
Monterra
Remote, United States
We're hiring our first MV Electrical Engineer, who will serve as the technical authority and in-house subject matter expert on medium-voltage power systems. You’ll work closely with our…
Added 1 hour ago
Global AI Transformation & Solutions Lead
AFRY
Appleton, WI
…adoption, and from an individual use case to a repeatable AI product or…
Added 1 hour ago
IS
Quality Analyst Engineer - Senior
Information Systems
United States
- $120,000 to $135,000 USD / year
· Reporting results and making recommendations to key business stakeholders and groups on the quality of the product, software development lifecycle processes, and the risk of promoting the…
Added 2 hours ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Pierre, SD
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 2 hours ago
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Remote, United States
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 2 hours ago
Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Remote, United States
We are looking for a Senior Full Stack Engineer to join the Workforce Management product stream and build enterprise-scale solution supporting forecasting, capacity planning, scheduling,…
Added 2 hours ago
LEAD PRINCIPAL ENGINEER, ID1 ATE DE PROC
Micron Idaho Semiconductor Manufacturing (Triton) LLC
Boise, ID
…organizations focusing on Commercial (cost), Efficiency, New Product Introduction (NPI) speed, and quality metrics. Influence HVM FABs on high-priority Key Performance Indicators (KPIs)…
Added 2 hours ago
J
Software Engineer Lead
Jobgether
Remote, United States
- $105,000 to $135,000 USD / year
As a Software Engineer Lead, you will oversee the design, development, and lifecycle management of enterprise software solutions supporting digital banking, financial applications, and…
Added 2 hours ago
J
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…

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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