Jobs in the United States

25+ jobs

Added 2 mins ago
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AI Platform Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…by automating processes that currently run on pre-internet systems. Fresh off our $8M seed round, we're looking for an exceptional AI Platform Engineer who can architect and develop the…
Added 5 mins ago
Security Engineer
American Cyber
Remote, United States
American Cyber is seeking a Security Engineer / Cybersecurity Engineer (Independent Contractor – 1099) to support the design, implementation, and optimization of security solutions across…
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 6 mins ago
Data Engineer(UNPAID)
Holiday World
Remote, United States
We are seeking a Data Engineer to help build and optimize Holiday World’s data infrastructure. You will
Added 7 mins ago
Membrane Applications Engineer
AQUATECH INTERNATIONAL LLC
PA
This Applications Engineer will support the growth of our QUA Technologies portfolio. This role is ideal for a technically strong engineer with hands‑on experience designing membrane‑based…
Added 8 mins ago
GCP Data Engineer
Recruiting Source International LLC
Downey, CA
Data Validation: Implementing data quality checks and validations within dbt models (e.g., data type checks, uniqueness constraints, null checks).
Added 9 mins ago
Software Engineer, Core Product (Contract)
Alpaca Health
New York City, NY
Our platform engineer will be building the foundational domain models and invariants. You build the product and automation layers on top of that foundation - the systems and interfaces that…
Added 10 mins ago
Membrane Applications Engineer
Aquatech International LLC
PA
This Applications Engineer will support the growth of our QUA Technologies portfolio. This role is ideal for a technically strong engineer with hands‑on experience designing membrane‑based…
Added 10 mins ago
R
ML Operations Engineer
Refine
New York City, NY
- $150,000 to $175,000 USD / year
We are seeking a Machine Learning Operations (ML Ops) Engineer to join our team. This role will be crucial in scaling and maintaining the ML infrastructure that powers Refine’s multimodal…
Added 16 mins ago
SD
Senior Site Reliability Engineer (Disaster Recovery
SunCore Digital
Scottsdale, AZ · Bellevue, WA
- $145,000 to $200,000 USD / year
The engineer may draw on application developers when recovery improvements require changes to application code, databases, data flows, or system-specific behavior. Recovery procedures must…
Added 16 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 16 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 18 mins ago
Software Engineer, Robotics
Deccan AI
San Francisco, CA
Software Engineer, Robotics & VLA Systems Mountain View, CA · Full-Time · Physical AI Team
Added 19 mins ago
TW
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 21 mins ago
Senior Software Quality Engineer
Abbott Laboratories
Sylmar, CA
…applications and supporting infrastructure. This role ensures software systems are developed, verified, validated, and maintained in compliance with applicable medical device regulations,…
Added 22 mins ago
UI
PNT Software Engineer
Ulysses Inc.
San Francisco, CA
- $180,000 to $260,000 USD / year
…domain on the planet. We're changing that - building autonomous systems that collapse the cost of ocean operations by orders of magnitude so that persistent coverage becomes the baseline,…
Added 22 mins ago
UI
Mechanical Engineer
Ulysses Inc.
San Francisco, CA
- $130,000 to $180,000 USD / year
We're looking for a Mechanical Engineer to own the structural and mechanical design that makes our underwater robotic systems work. You'll design the hardware that operates above and below…
Added 22 mins ago
UI
Electronics Engineer
Ulysses Inc.
San Francisco, CA
- $135,000 to $180,000 USD / year
We’re hiring an Electrical Engineer to join our already exceptional EE team to play a critical part in designing, prototyping, and bringing to production the embedded electronics that power…
Added 23 mins ago
GL
QA Automation Engineer (Founding Team)
Gradientflo Labs
San Francisco, CA
- $24,000 to $32,000 USD / year
As the founding QA Automation Engineer, you’ll design frameworks that validate not just code but also AI outputs. From traditional E2E flows to specialized agent evaluation pipelines,…
Added 23 mins ago
GL
Full Stack Developer (Founding Team)
Gradientflo Labs
San Francisco, CA
- $40,000 to $60,000 USD / year
Authentication & Security - Implement Firebase Authentication (Google/GitHub OAuth), JWT validation in API Gateway, and FE session handling.
Added 23 mins ago
GL
Chief Technology Officer (Tech - Founding Pillar)
Gradientflo Labs
San Francisco, CA
- $40,000 to $60,000 USD / year
Deep system design expertise: distributed systems, real-time infra, low-latency APIs.
Added 24 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 24 mins ago
MLOps Engineer Internship
Metasys
Remote, United States
The MLOps Engineer is crucial for bridging the gap between data science and production, responsible for the reliable, scalable, and secure deployment of machine learning models. You will…
Added 24 mins ago
Data Engineer Internship
Metasys
Remote, United States
We are looking for a detail-oriented Data Engineer Intern to support the design, development, and maintenance of data pipelines and data infrastructure. This internship provides hands-on…

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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