Jobs in the United States

25+ jobs

Added 7 mins ago
E
IT Help Desk & Field Engineer
Endsight
San Diego, CA
- $24.05 to $38.46 USD / hour
Must have 3 years minimum Field or Onsite Engineer or IT Help Desk experience
Added 8 mins ago
Sr. Sustaining Mechanical Engineer
Philips
Murrysville, Pennsylvania, United States, PA
Sr. Sustaining Mechanical Engineer (Murrysville, PA)
Added 10 mins ago
Senior Flight Test Engineer - Mission Autonomy (UAS - Fury)
Anduril Industries
Costa Mesa, CA
…autonomy systems. As we expand, we're seeking a methodical engineer who is prepared to tackle the challenges of mission autonomy testing and contribute to the iterative development and…
Added 10 mins ago
Flight Test Engineer - Mission Autonomy (UAS - Fury)
Anduril Industries
Costa Mesa, CA
…autonomy systems. As we expand, we're seeking a methodical engineer who is prepared to tackle the challenges of mission autonomy testing and contribute to the iterative development and…
Added 12 mins ago
FN
Deputy Public Works Director
Fairbanks North Star, Borough of (AK)
Fairbanks, AK
- $115,584 to $124,622 USD / year
14. This position may act as Architect/Engineer for Borough projects.
Added 21 mins ago
Design Engineer II
Silicon Laboratories Inc.
United States
As a Digital Design Engineer II you will develop world class, highly integrated, low power, System on a Chip devices to serve the IoT wireless market.
Added 26 mins ago
CS
Software Engineer Full Stack / Backend I (Full Time) - United States
Cisco Systems, Inc.
Remote, United States
- Full-time
As a Full Stack Software Engineer, you will develop, build, and ship end-to-end features and bug fixes across our high-scale Java backend microservices and modern React frontend…
Added 26 mins ago
Software Engineer – Release Management
Cisco Systems, Inc.
RTP, NC
We are seeking a motivated Engineer to join our Release team in Research Triangle Park (RTP), North Carolina, helping us improve software project infrastructure and product quality for…
Added 28 mins ago
GA
Sr Manufacturing Engineer - Sourced Hardware
GE Aerospace
Hooksett, NH
- $116,000 to $155,000 USD / year
The Senior Manufacturing Engineer will manage and coordinate delivery projects within the Supplier Performance & Execution Sourcing Section. You will organize and coordinate…
Added 28 mins ago
GA
Sr Manufacturing Engineer 2 – Sourced Hardware
GE Aerospace
Hooksett, NH
- $136,000 to $181,000 USD / year
The Senior Manufacturing Engineer will manage and coordinate delivery projects within the Supplier Performance & Execution Sourcing Section. You will organize and coordinate…
Added 29 mins ago
GA
Sr Manufacturing Engineer - Sourced Hardware
GE Aerospace
Hooksett, NH
- $116,000 to $155,000 USD / year
The Senior Manufacturing Engineer will manage and coordinate delivery projects within the Supplier Performance & Execution Sourcing Section. You will organize and coordinate…
Added 29 mins ago
Facility Operations Center Manager, Facility Operations Center
Amazon Data Services, Inc.
Herndon, VA
…platform on a global 24x7x365 basis. We support Data Center Engineer Operations teams who are responsible for the operation of infrastructure equipment. Our role is to ensure that critical…
Added 32 mins ago
QA / DevOps Engineer
NetSpeek
Remote, United States
The QA / DevOps Engineer owns platform quality, release reliability, and the AI-assisted engineering workflows our team uses to ship safely.
Added 32 mins ago
AI Engineer
Emergence AI
Irvine, CA
As an AI Engineer, you'll build customer-facing capabilities across Emergence's Enterprise Agent Platform, working directly with Product Management, Customer Success, and enterprise…
Added 32 mins ago
Systems Engineer
Exxact Corporation
Fremont, CA
Exxact Corporation is seeking to hire a Sales Engineer to help design and build systems, ranging from stand-alone workstations and servers to multi-rack CPU, GPU and storage clusters.
Added 34 mins ago
O
(Sr.) Founding Engineer - Noto
Outbound
San Francisco, CA
- $125,000 to $210,000 USD / year
…previously built an AI recruiting company. He was a machine learning engineer and data scientist at Quora, Lyft, & Meta. He studied Statistics at Yale and most importantly, he comes from a…
Added 34 mins ago
O
Founding Full-Stack Engineer (AI) - Centralize (YC24)
Outbound
CA · San Francisco, CA
- $100,000 to $160,000 USD / year
could be young and hungry & has worked as a founding engineer at at least one AI-startup AND built something insanely impressive (like built their technology from the ground up)
Added 36 mins ago
Senior Data Engineer
Stellix
Foxborough, MA
We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics team. Our mission is to empower every team across the organization with timely, trusted, and actionable…
Added 36 mins ago
Automation Engineer
Stellix
Clifton Park, NY
As Stellix continues to grow, we have an opportunity for an Automation Engineer to explore systems applications across many process industries. Do you enjoy taking on new and interesting…
Added 36 mins ago
IT/OT Engineer
Stellix
Foxborough, MA
We are currently looking for a IT/OT Engineer III position within our IT/OT managed services team to provide post-project services (such as DCS Platform, OT infrastructure, virtualization,…
Added 36 mins ago
Senior Automation Engineer (Back-End SCADA)
Stellix
Foxborough, MA
…- as does the technical relationship with the PLC Principal Engineer at the tag mapping and OPC server…
Added 40 mins ago
Project Engineer - Mechanical
Highland Consulting Group, Inc.
Pittsburgh, PA
…Pittsburgh, PA area, that is recruiting for an experienced Project Engineer. Do you have experience with commercial mechanical systems? We are recruiting top talent that knows & enjoys…
Added 40 mins ago
Student Intern, Power Delivery, Summer 2026
Entergy
Jefferson, LA
Added 40 mins ago
Construction Engineer
Entergy
Metairie, LA
This position may be filled as an Engineer III or Sr. based up on the experience and qualifications of the selected candidate. ****
Added 40 mins ago
Test Automation Engineer - U.S. Citizenship Required
CGI Technologies and Solutions, Inc.
Lafayette, LA
To support our continued growth, we are seeking a Test Automation Engineer who is eager to learn new technologies and enhance our testing frameworks. This role will help improve software…

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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