UNKNOWN

FEED

CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.

YEAR

CONTACT GOVERNMENT SERVICES

Data Engineer

ea_via_bold

We’re building tools that allow vendors to fine-tune models easily and deploy them securely on diverse hardware. Implement and maintain LoRA/QLoRA fine-tuning pipelines using PyTorch + Hugging Face Transformers + PEFT.

Baasi

ML Engineer

Merging cutting-edge technology into the world’s most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. As a new college graduate,you’llwork alongside experienced engineers and apply your academic knowledge to real-world RF design challenges while buildingexpertiseacross the integrated circuit development lifecycle.

Silicon Laboratories

RFIC Design Engineer I

A bachelor's or master's degree in electrical engineering, computer engineering, computer science, systems engineering, or a closely related field, completed recently or expected before the role begins. We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption.

Graphcore Ltd.

Graduate Systems Engineer

Snowflake) and open table formats (Delta Lake, Apache Iceberg) Strong command of advanced SQL for complex data modeling, query optimization, and analytics engineering Experience with workflow orchestration tools (Apache Airflow or equivalent) and building production-grade, monitored pipelines Hands-on experience implementing data quality frameworks, observability tooling, and data lineage tracking in production environments Experienced with implementation and productionalization of GenAI and Agentic AI tooling including LLM-assisted code generation, MCP servers, and AI-powered data pipeline automation Experience with data visualization and self-service analytics platforms (e.g., Tableau, Streamlit, ThoughtSpot) and the ability to build light front-end data products Track record of staying current with industry best practices, rapidly adopting emerging technologies (e.g., vector databases, RAG pipelines, AI-native data tools), and building functional prototypes to validate conceptsAbility to work well in a fast-paced, iterative environment and deliver projects under timeline pressures Champion a culture of experimentation and continuous learning, bringing innovative and strategic thinking to reporting, business analytics, and AI-powered automation Exceptional ability to communicate complex data architecture decisions clearly to both technical peers and non-technical senior stakeholders Strong interpersonal and collaboration skills to partner effectively across functions, share knowledge, and integrate diverse feedback Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity, with a high bias for action and meticulous attention to data integrity. You'll join a team designing and building modern, scalable data infrastructure that powers analytics, machine learning, and AI-driven decision-making across Operations.

<div class="col-md-4 passion" style="background-color: #666666; border-radius: 20px; -webkit-box-shadow: 2px 2px 2px 2px #979b91; -moz-box-shadow: 2px 2px 2px 2px #979b91; box-shadow: 2px 2px 2px 2px #979b91; color: #ffffff; font-family: calibri; font-size: 13px; padding: 17px; text-align: center;">
<h3 style="color: #ffffff; font-size: 16px; font-weight: normal;">We bring amazing people together to make amazing things happen.</h3>
<p>We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.</p>
</div>
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<h3 style="color: #666666; font-weight: 500;">About Apple</h3>
<p>There’s a place here for every kind of brilliant.
Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own.

<a href="https://www.apple.com/jobs/us">Learn more about working at Apple.</a>
</p>
</div>

Apple Inc

Operations Data Engineer

This individual participates in the design process, partnering with YETI Industrial Designers, Product Managers and Design Engineers to establish performance requirements for new products. Proven record of accomplishment in the design and build of test equipment to support thermal, mechanical, repetitive motion and/or other testing needs.

YETI Coolers

Product Validation Engineer

Strong hands-on experience building AI/ML applications, particularly those leveraging Large Language Models (LLMs) - including prompt engineering, fine-tuning, RAG architectures, agentic systems, or LLM-based tool chains. You will be responsible for: Building domain-specific AI applications that leverage LLMs and other ML techniques to accelerate formal verification workflows - from specification interpretation to property generation, proof debugging, and beyond.

Formal Verification - AI/ML Engineer

You will provide technical leadership within assigned areas of System Management, guide architecture and implementation choices, mentor engineers and translate broader technical direction into effective execution. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives, spanning AI research specialists, silicon designers, software engineers and systems architects.

Principal Engineer

Working across our entire supply chain in a technically challenging, fast paced environment, you will ensure the readiness of our global supply chain to ramp successfully as we develop and manufacture the world's most advanced AI systems and services. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

Supply Quality Engineer

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience 4+ years of industry experience in software engineering or machine learning Hands-on experience building AI agents with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), using frameworks such as LangChain, LangGraph, Pydantic AI, or CrewAI Strong programming skills in multiple languages (e.g., Python, Java, Go, Node.js, or TypeScript), with solid experience designing and developing distributed systems, backend services, and APIs in production environmentsFamiliarity with deploying and operating services in cloud environments (AWS, GCP, or Azure), including containerization (Docker) and orchestration (Kubernetes) Experience with CI/CD pipelines and MLOps practices for deploying, scaling, and monitoring LLM-powered services Background in building REST or GraphQL APIs, microservices, and event-driven systems Knowledge of vector databases, memory systems, and human-in-the-loop workflows Strong collaboration skills with the ability to work effectively across ML research, platform engineering, and product teams. We're creating a new AI-powered developer platform that brings together ai agents and autonomous workflows to support how apps are built across Apple.

Software Engineer (Agentic AI), AI & Data Platforms

You shape multi-year direction for the teams platform architecture, establish engineering practices that raise the quality bar, and lead the resolution of the most complex challenges - those that span multiple systems and carry broad impact on the employee experience. Employee Experience and Productivity (EEP) is part of IS&T and delivers some of the most widely used communication and productivity technology and services across Apple - from tools that enable collaboration to the support teams that keep Apples workforce running.

Sr Software Engineer (Swift UI), Employee Experience & Productivity

Micro-architectural Exploration: Conduct "what-if" studies to evaluate architectural changes (e.g., cache sizes, branch predictors, pipeline depths, scatter/gather, matmul shaping) and their impact on IPC, MFU, TTFT, and total execution time. We bring a proven track record of scaling consumer systems for hundreds of millions of users and architecting the pre-training infrastructure behind today's frontier models.

River AI

Performance Engineer, Hardware

Whether world-class airports and aviation facilities, technologically advanced healthcare facilities, cutting-edge educational and research facilities, professional sports stadiums, high-rises, hospitality, and other leading commercial markets, Austin's industry expertise and ingenuity are second to none. This Company does not accept and will not consider unsolicited resumes or any other unsolicited candidate information submitted to the Company or any of its employee-owners by staffing agencies, search firms, or third-party recruiters in response to a posted vacancy.

Austin Industrial

VDC Engineer (Austin, Texas) - Austin Commercial

Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.

EnergyHub

Senior Forecasting and Optimization Engineer

GreenHouseAPI

We design advanced semiconductors and data center hardware that deliver the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. You will work alongside experienced engineers, software developer, and cross-functional partners while building practical skills in component, system and scale up/out performance optimization and design.

Graduate Performance Engineer

You will be responsible for verifying complex digital designs , including Systems-on-Chip (SoCs) with multiple CPUs, digital signal processors, security hardware, interconnects, and peripheral logic supporting IoT and edge-compute applications. Our cross-functional teams span design, research, development, production, marketing, sales, and operations across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore.

Ambiq Micro

Sr. Staff Engineer - Digital Design Verification

Design the fluid system around the machine: piping, valves, headers, relief and isolation, sized against the pressure-drop budget the cycle can afford and the pressures the fluid actually runs at. We are taking compressor and chiller design in house, working on machine architectures nobody sells today, and going from blank sheet to production faster than this industry thinks is possible.

Fluidstack

Mechanical Engineer, Thermofluids

We are taking compressor and chiller design in house, working on machine architectures nobody sells today, and going from blank sheet to production faster than this industry thinks is possible. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

Test Engineer, Thermofluids

4. Other exciting programs and perks are available to help employees achieve work-life balance, including (but not limited to) a wellness program, free financial coaching, a referral program, and product rebates when purchased for an employee's primary residence. Skills: Hands-on problem solver, great communicator, energetic, forward-thinking, and good at balancing priorities.

Research Engineer Jobs in Austin, TX

Data Engineer CONTACT GOVERNMENT SERVICES

ML Engineer Baasi

RFIC Design Engineer I Silicon Laboratories

Graduate Systems Engineer Graphcore Ltd.

Operations Data Engineer Apple Inc

Product Validation Engineer YETI Coolers

Formal Verification - AI/ML Engineer Apple Inc

Principal Engineer Graphcore Ltd.

Supply Quality Engineer Graphcore Ltd.

Software Engineer (Agentic AI), AI & Data Platforms Apple Inc

Sr Software Engineer (Swift UI), Employee Experience & Productivity Apple Inc

Performance Engineer, Hardware River AI

VDC Engineer (Austin, Texas) - Austin Commercial Austin Industrial

Senior Forecasting and Optimization Engineer EnergyHub

Graduate Performance Engineer Graphcore Ltd.

Sr. Staff Engineer - Digital Design Verification Ambiq Micro

Mechanical Engineer, Thermofluids Fluidstack

Test Engineer, Thermofluids Fluidstack

Engineer Iii, Solar Laminate GAF Buildings Materials Corp. of America

Controls Engineer, Thermofluids Fluidstack

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