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Senior Control Systems Engineer (Instrumentation & Controls)
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Folsom, CA · Walnut Creek, CA
…environment. This isn’t just a job, it’s a chance to lead innovation, engineer impact, and build a legacy of…
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Senior Deployment Engineer - Public Sector
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Remote, United States
As a Deployment Engineer, you are the backbone of Celonis delivery. You lead the hands-on implementation of Celonis solutions for enterprise customers, combining platform expertise with…
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Senior Deployment Engineer - Hi Tech
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CA
As a Deployment Engineer, you are the backbone of Celonis delivery. You lead the hands-on implementation of Celonis solutions for enterprise customers, combining platform expertise with…
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Senior Deployment Engineer - Health and Life Sciences
Celonis
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As a Deployment Engineer, you are the backbone of Celonis delivery. You lead the hands-on implementation of Celonis solutions for enterprise customers, combining platform expertise with…
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Senior Deployment Engineer - Financial Services
Celonis
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Lead Deployment Engineer
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As a Deployment Engineer, you are the backbone of Celonis delivery. You lead the hands-on implementation of Celonis solutions for enterprise customers, combining platform expertise with…
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- $38 to $42 USD / hour
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AI/ML Engineer
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- $100,000 to $110,000 USD / year
Triunity Software is looking for a talented and passionate AI/ML Engineer to join our growing team in New Jersey! This is an exciting opportunity to work on cutting-edge artificial…
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AI/ML Engineer
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NYC, NY
- $100,000 to $110,000 USD / year
Triunity Software is looking for a talented and passionate AI/ML Engineer to join our growing team in New Jersey! This is an exciting opportunity to work on cutting-edge artificial…
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AI/ML Engineer
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- $100,000 to $110,000 USD / year
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AI/ML Engineer
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- $100,000 to $110,000 USD / year
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AI/ML Engineer
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- $100,000 to $110,000 USD / year
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Senior Data Migration Engineer
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…projects and grow a rewarding career. The Sr. Data Migration Engineer will work as part of the CMM Data Modernization and Governance team responsible for delivering an integrated data…
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We anticipate the application window for this opening will close on - 10 Nov 2026
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Intelligence Analyst IV
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ICF is seeking a ServiceNow Test Engineer to support enterprise ServiceNow delivery efforts with primary focus on a federal program. This role is responsible for helping ensure platform…
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Senior Infrastructure Engineer
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Quantum Sky is seeking a Senior Infrastructure Engineer to design, build, and operate the cloud and AI infrastructure behind Project 137, the company's applied-research and IP engine.…
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Senior Staff Engineer - Agentic Identity
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Senior Consultant, Full Stack Software Engineer (Node.js/React/Typescript/AWS)
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We are seeking a highly skilled Full Stack Software Engineer to join our dynamic team. This role requires a versatile developer with a passion for both front-end and back-end technologies,…
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As a Director, Full-stack Engineer at Capital One, you will lead high-performing engineering teams working to define the future of banking in the cloud. You will partner closely with…
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Senior Lead Security Engineer
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Leidos is seeking a Senior Lead Security Engineer to support a high-visibility, strategic cybersecurity task order. This individual will serve as the team's technical lead, designing,…
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Rockstar

Backend Software Engineer (ML Infra)

San Francisco, CA, United States

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Job details

Experience: 1–3 years of engineering experience, ideally working on production systems on the backend and infrastructure layer.
Posting language: English
Posted: Nov 4, 2026

Original job description

Rockstar is recruiting for a fast-growing AI infrastructure startup building the optimal inference allocation engine - model routing, dedicated inference, and post-training, all working together to ensure every request is served by the best model for it, in real time. The client’s mission is to deliver truly serverless intelligence to the AI world. Their routers and models allocate and serve 100B+ tokens/month for frontier AI companies across industries.

About the Client

The client is building the optimal inference allocation engine - model routing, dedicated inference, and post-training, all working together to ensure every request is served by the best model for it, in real time. Their mission is to deliver truly serverless intelligence to the AI world.

Their routers and models allocate and serve 100B+ tokens/month for frontier AI companies across industries.

The Role

The client is hiring a Software Engineer to help design, build, and scale the core systems that power large-scale routing, model training, and deployment.

The engineer will work on everything from distributed training pipelines, cloud-native infrastructure, and internal developer platforms that support fine-tuning, reinforcement learning, and inference at scale, stretching right up to the frontend. This role sits at the intersection of product engineering and ML systems - the engineer will collaborate closely with ML scientists while owning production-grade infrastructure operating at 99.99% uptime, alongside a team that has shipped hundreds of models at places like TikTok, MongoDB, and Neeva.

This is an ideal role for an early-career engineer who wants to work on real distributed systems, GPU workloads, and modern ML infrastructure, and actually see their work transform the AI capabilities of frontier application layer companies.

What You’ll Do

Build & Scale Core Infrastructure

Design and implement systems that support large-scale ML workloads, including fine-tuning and reinforcement learning. Build distributed training, inference, and logging pipelines that are efficient, fault-tolerant, and observable.

Cloud & Systems Engineering

Work on cloud-native systems using containers and orchestration (e.g., Kubernetes). Optimize systems for performance, reliability, and cost efficiency, especially for GPU-heavy workloads. Implement monitoring, logging, and observability for long-running training jobs and production services.

Bring the Client’s Capabilities to Customers

Talk to customers. Join their calls, find what’s slowing them down, and ship the fix yourself. Realize the client’s features. Develop the frontend and backend logic that enables customers to access the client’s capabilities.

Who You Are

Required

1–3 years of engineering experience, ideally working on production systems on the backend and infrastructure layer. Strong fundamentals in distributed systems, networking, and backend architecture. Comfortable writing code with and without AI and taking accountability for your code. Excited to work on-site in San Francisco with a fast-moving early-stage team.

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