Jobs in the United States

25+ jobs

Added just now
Commissioning Engineer
Big Sky Operations
Ashburn, VA · Atlanta, GA · Boykins, VA · Des Moines, IA · Raleigh, NC
…hyperscale data centers and other mission-critical facilities where performance, uptime, and compliance are…
Added 2 mins ago
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AI Forward Deployed Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…round, we're looking for an exceptional AI Forward Deployed Engineer who can rapidly solve business problems and deliver immediate value across growth, sales, operations, and customer…
Added 2 mins ago
MT
Application Engineer Intern – Materials and Additive Manufacturing
Mimo Technik
Carson, CA
- $20 to $27 USD / hour
…additive processes with precision CNC machining to deliver high-performance components for commercial and defense aerospace clients. Our team thrives on innovation, collaboration, and…
Added 3 mins ago
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IT Security & Infrastructure Engineer
Pacific Clinics
Arcadia, CA
- $87,423 to $107,519 USD / year
…direction of IT leadership, the IT Security & Infrastructure Engineer this is a mid-level role split evenly between information security operations and enterprise infrastructure management.…
Added 6 mins ago
Principal Core Engineer - Infra / SRE
Edgescale AI
Denver, CO
We’re looking for a Core Engineer at the Principal Infra / SRE level to own the reliability, scalability, upgradeability, and operational excellence of our edge platform at fleet scale.
Added 6 mins ago
Forward Deployed Engineer
Edgescale AI
Denver, CO
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…
Added 6 mins ago
Core Engineer - Software / Applied AI (Multiple Levels)
Edgescale AI
Denver, CO
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.
Added 6 mins ago
Core Engineer - Hardware Systems (Multiple Levels)
Edgescale AI
Denver, CO
We’re looking for a Core Engineer focused on hardware systems to build and evolve the physical edge platform that runs our private AI and data infrastructure in the real world.
Added 6 mins ago
Core Engineer - Data Systems (Multiple Levels)
Edgescale AI
Denver, CO
We’re looking for a Core Engineer focused on data systems to build the data and streaming foundations that make our edge platform reliable, observable, and repeatable.
Added 7 mins ago
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Senior Software Engineer, AI
Tono Health
Brooklyn, NY
- $180,000 to $275,000 USD / year
We invest in maintainability. Dependency upgrades, performance work, and removing dead code are part of the roadmap.
Added 7 mins ago
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Controls Engineer
B-K Tool & Design
Mooresville, IN
- $100,000 to $115,000 USD / year
JOB DESCRIPTION: This individual should be an experienced controls engineer familiar with the Indiana area. As the individual gets familiar with our engineering of automation solutions, the…
Added 8 mins ago
Senior AI Engineer
Heart of the Dawn Games
Los Angeles, CA
We are looking for an experienced AI Engineer to join our early stage team. In this role you will build systems and features that support a rich open world in Unreal Engine 5. We are…
Added 8 mins ago
QA Engineer
Recruiting Source International LLC
TX · Houston, TX
Develop and execute automated test scripts to ensure product quality.
Added 9 mins ago
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Quality Engineer
Supply Energetics
Parsons, KS
- $75,000 to $100,000 USD / year
We’re hiring a Quality Engineer at our production facility "Prairie Forge" in Parsons, KS to help ensure every batch we produce meets the highest standards. You’ll conduct testing, maintain…
Added 9 mins ago
SE
Energetics Process Engineer
Supply Energetics
Parsons, KS
- $145,000 to $170,000 USD / year
We’re hiring an Energetics Process Engineer at our Prairie Forge production facility in Parsons, KS to manage industrial process and equipment for our overall physical operations. The role…
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
Product Engineer
Bubble Sort Recruiting
San Francisco, CA
- $180,000 to $250,000 USD / year
We're seeking a Product Engineer to help us reshape how millions of loans are serviced through artificial intelligence. As a Product Engineer at AI Platform Company, you'll build and…
Added 12 mins ago
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Support Systems Engineer - NAMER
Ashby
Remote, United States
- $100,000 to $130,000 USD / year
That’s why we’re searching for a Support Systems Engineer to become the long-term owner of our Support systems.
Added 13 mins ago
RU
SDET Automation Engineer
Randstad USA
Washington, DC
- $50 to $58 USD / hour
Randstad is seeking a Senior SDET Automation Engineer to join a premier client in the Washington, DC area to lead the design, development, and scaling of enterprise-grade test automation…
Added 14 mins ago
CA
General Engineer
Customs and Border Protection
Aliso Viejo, CA · Euless, TX
- $106,437 to $138,370 USD / year
Professional Registration or Licensure: Current registration as an Engineer Intern (EI), Engineer in Training (EIT)1, or licensure as a Professional Engineer (PE) by any State, the District…
Added 15 mins ago
Lead QA Engineer - Equity Only
Luupli
Remote, United States
We are seeking an experienced Lead QA Engineer to lead our quality assurance efforts. In this role, you will be responsible for ensuring the highest quality standards for our mobile…
Added 15 mins ago
MT
Site Reliability Engineer
Medina Talent Group
Irvine, CA
- $125,000 to $155,000 USD / year
As a Site Reliability Engineer, you will be immersed in a high-performing and frequently challenged team responsible for the reliability, scalability, and operational excellence of product…
Added 15 mins ago
MT
Lead Engineer
Medina Talent Group
Irvine, CA
- $135,000 to $150,000 USD / year
The Lead Engineer for Enterprise Applications is responsible for driving the design, development, modernization, and lifecycle management of enterprise application portfolios. This role…
Added 15 mins ago
Staff/Senior Software Engineer, CAD App (Full stack)
Motif
Remote, United States
…algorithms, turning each user action into a reliable, high-performance modeling operation in 3D. And we build it as a platform: the features we ship have to work end to end today and also…
Added 16 mins ago
Founding Engineer (Applied AI & ML Ops)
Solstice Health
New York City, NY
Leverage prompt-engineering, retrieval-augmented generation, model experimentation, and benchmarking to optimize performance of Solstice’s platform on real biopharma marketing data.

Core Engineer - Data Systems (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 data systems to build the data and streaming foundations that make our edge platform reliable, observable, and repeatable. You’ll own core platform capabilities for ingesting, contextualizing, and serving customer data across OT/IT environments, and you’ll also build and support internal data systems that power Edgescale AI operations (observability, alerting, inventory, configuration, fleet state, and deployment telemetry). This role defines and enforces data contracts and integration standards, and can stop data flows that are not ready for production. You’ll ensure data is accurate and traceable, so data used by AI and operations can be trusted. You’ll partner with software, infrastructure, security, and commercial teams to translate requirements and feedback into durable platform capabilities that scale. This work is AI-native: you’ll use AI to speed up development and troubleshooting while keeping all production data paths reviewed and auditable. 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

Own core capabilities for ingesting, contextualizing, and serving data across edge and hybrid environments.
Build and evolve connectors and integration patterns across OT/IoT protocols and enterprise systems, with strong reliability and observability.
Implement and operate real-time streaming and event-driven data flows for low-latency use cases with clear failure modes.
Define and enforce data contracts, schemas, and integration standards so producers and consumers operate predictably, and stop data flows that are not production-ready.
Ensure data accuracy and traceability end-to-end, including lineage, auditability, and validation mechanisms so AI and operational systems can trust the data.
Build and support internal data systems for platform operations, including observability pipelines, alerting, inventory/configuration databases, and fleet telemetry.
Design scalable query and access patterns that support analytics and AI, including federated query and time-series access patterns.
Partner with customer-facing teams for requirements and feedback, then translate learnings into durable platform capabilities that scale.
Maintain crisp engineering documentation and reusable artifacts, using AI tools to accelerate implementation, debugging, and iteration loops, then refining with engineering judgment and rigorous review for production paths.

What Success Looks Like

In your first 3 months, you will have:

Shipped a critical data system (customer-facing or internal) that delivers measurable improvements in reliability, latency, observability, or integration speed.
Established clear data contracts and validation mechanisms for at least one production-critical data flow, improving trust, traceability, and operational confidence.
Earned trust through autonomy and execution - becoming the go-to owner for a meaningful slice of the data platform and internal telemetry systems.

In your first year, you will be:

Owning major components of the data platform and internal data systems end-to-end with clear accountability for production outcomes and platform reliability.
Driving improvements that materially compress adoption cycles by making integrations faster, safer, and more repeatable across deployments.
Shaping platform direction through scalable patterns across connectors, streaming, semantics, governance, and observability that unlock new AI and operational use cases.

Who You Are

6+ years building and operating production data systems, streaming systems, or integration platforms across complex environments.
Experience operating real-time pipelines with strong reliability practices (e.g., Kafka-style event systems, robust observability/alerting, on-call readiness, incident response, and clear failure modes).
Strong engineering craft: clean implementations, thoughtful designs, operational clarity, and strong documentation (e.g., Python and/or Go, APIs for ingestion/access, and structured testing).
Comfort working in ambiguity and making sound trade-offs under real constraints (latency, bandwidth, security, deployment timelines, and operational risk).
Clear communicator and strong collaborator across engineering and customer-facing teams, with the ability to define standards and enforce production discipline.
Ownership mindset: outcomes over tasks.

Unique Experiences We Value

Production experience with streaming and event-driven systems (e.g., Kafka) and operating them reliably under real-world constraints.
Experience with federated query systems and large-scale analytics access patterns (e.g., Trino) and designing access patterns that support both operational use and AI workflows.
Building data integration for OT/IoT environments, including protocols such as MQTT, OPC UA, Modbus, and DNP3, and handling schema drift, data quality, and connectivity variability.
Experience building trusted data systems with contracts, validation, and lineage (e.g., schema enforcement, traceability, auditability, and mechanisms to block unsafe production data paths).
Partnering with customer-facing teams to turn messy integrations and requirements into repeatable platform capabilities, while keeping production systems reviewed, auditable, and operationally sound.

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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