Jobs in the United States

25+ jobs

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AI Platform Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…$8M seed round, we're looking for an exceptional AI Platform Engineer who can architect and develop the core infrastructure that powers our entire AI…
Added just now
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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 3 mins ago
AI Developer Relations Engineer (Copy)
Félix
United States
…of a conversation to a community the traditional financial system has historically…
Added 5 mins ago
Core Engineer - Data Systems (Multiple Levels)
Edgescale AI
Denver, CO
Shipped a critical data system (customer-facing or internal) that delivers measurable improvements in reliability, latency, observability, or integration speed.
Added 5 mins ago
Founding Engineer Persistent Spatial Worlds (Unity + AI)
Phygtl, Inc.
Remote, United States
The system turns environments - starting with university campuses - into interactive canvases where students coordinate actions and co-create digital artifacts anchored to real locations.
Added 8 mins ago
Director of Power Engineering
Deca
San Francisco, CA
Deca Digital is a hyperscale data center developer. We’re deploying an initial $2B vehicle from a top-three global asset manager, with five projects in flight and a pipeline of 5+ GW across…
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 11 mins ago
Senior Backend Engineer
Gaya
Remote, United States
As a Senior Backend Engineer at Gaya, you will be critical in enhancing and scaling our backend systems. You will be responsible for improving our API infrastructures, optimizing core…
Added 11 mins ago
Backend Engineer
Gaya
Remote, United States
As a Backend Engineer at Gaya, you will work hand-in-hand with our Senior Backend Engineer to build, test, and scale the backend systems powering insurance automation for thousands of…
Added 11 mins ago
Senior Software Engineer (full stack)
IBBX Wireless Energy
United States
Contribute to innovation within the company by bringing new ideas and approaches to improve system integration and performance.
Added 11 mins ago
Hardware Engineer
IBBX Wireless Energy
United States
IBBX is looking for an Electronics Engineer, to focus on emerging technologies such as Wireless Power Transfer (WPT) and Energy Harvesting (EH). In this role, you will be responsible for…
Added 13 mins ago
Integration Engineer, Heatshield (Starship)
SpaceX
Starbase, TX · Brownsville, TX
Starship requires a robust Thermal Protection System (TPS) to withstand the extreme heat generated during atmospheric reentry at hypersonic speeds. The thermal hardware team is responsible…
Added 13 mins ago
AI Engineer - Equity Only
Luupli
Remote, United States
As an AI Engineer at Luupli, you will play a pivotal role in developing intelligent systems and orchestrating agentic workflows that power Luupli’s AI features. Your work will span…
Added 13 mins ago
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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 13 mins ago
MT
Forward Deployment Engineer- 100 remote
Medina Talent Group
Remote, United States
- $150,000 to $190,000 USD / year
Foundational knowledge of full-stack engineering principles and system design.
Added 15 mins ago
Founding Frontend/UX Engineer
Solstice Health
New York City, NY
…is the rare chance to define the UX foundation, the design system, and the visual identity of a category-defining platform before it…
Added 15 mins ago
SD
Senior Site Reliability Engineer
SunCore Digital
Remote, United States
- $145,000 to $185,000 USD / year
SunCore Digital is seeking a hands-on Senior Site Reliability Engineer to assess the current reliability and scalability of our systems, identify risks, and implement the technical changes…
Added 15 mins ago
SD
Senior Security Operations Engineer
SunCore Digital
Remote, United States
- $165,000 to $205,000 USD / year
SunCore Digital is seeking a hands-on Senior Security Operations Engineer to assess and improve the security of our applications, cloud environments, development practices, identities,…
Added 15 mins ago
SD
Mobile Test Engineer
SunCore Digital
Scottsdale, AZ · Bellevue, WA
- $135,000 to $155,000 USD / year
SunCore Digital is seeking a Mobile QA Engineer, Flutter to own hands-on testing of our Flutter-based mobile applications across supported Android and iOS devices.
Added 15 mins ago
Senior Mechanical Engineer
Anastasia Talent Group
Houston, TX
Anastasia Talent Group is recruiting a Senior Mechanical Engineer on behalf of a confidential organization in Houston, Texas. This role leads the design, development, and improvement of mud…
Added 17 mins ago
Sr. Manufacturing Execution Systems (MES) Engineer
Community Talent Partners
Raleigh, NC
Community Talent Partners is seeking an experienced Senior MES Engineer on behalf of a client in the industrial automation sector, based in Raleigh, North Carolina.
Added 18 mins ago
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AI Marketing Project Manager
Together We Talent
Remote, United States
- $50 to $60 USD / hour
This is not an AI Engineer or AI Developer position. The Project Manager will serve as the critical bridge between Marketing business owners and AI development teams, translating marketing…
Added 19 mins ago
Backend Software Engineer ($10,000) - Washington, DC
Jobs Xchange
Washington, DC
Are you a backend software engineer with a passion for building the future of communication, even if you're not actively searching? Imagine contributing your expertise to a cutting-edge…
Added 21 mins ago
UI
Subsea Acoustics Engineer
Ulysses Inc.
San Francisco, CA
- $145,000 to $190,000 USD / year
…vessel mothership; and Kraken, our automated launch-and-recovery system that closes the loop between surface and subsea with zero human…
Added 21 mins ago
UI
Embedded Systems Engineer
Ulysses Inc.
San Francisco, CA
- $140,000 to $180,000 USD / year
We're looking for an Embedded Systems Engineer to own the firmware, electronics integration, and low-level hardware that make our underwater robotic systems work. You'll write the embedded…

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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