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FEED

The team works from template designs that repeat across campuses, and every template carries large mechanical plant, on-site generation, and electrical yards whose sound has to be understood before the first site is permitted. Youll join the civil, structural, and architectural engineers who design the buildings, sites, and yards for Fluidstacks gigawatt-scale AI data centers.

Fluidstack Ltd

Acoustics Engineer, Capacity Delivery

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Youve engineered electrical systems hands-on for complex physical products, modular construction, or critical facilities: prefab power skids, switchgear OEM products, modular data centers, or repeatable critical-facility work at an EPC. The Modular team is designing a factory-built data center product for the largest AI compute buildout in history: engineered once, built repeatedly, and deployed faster than site-built construction allows.

Electrical Engineer, Modular R&D

Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program. We are looking for a Staff Software Engineer to join our Fusion engineering team, focused on building systems that ingest, process, and analyze network cloud telemetry such as flow and DNS logs.

Vectra AI

Staff Software Engineer

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Our Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, algorithmic and ML-assisted map reconstruction pipelines powered by onboard sensor data. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

YEAR

LEADING THE CHARGE INTO TOMORROW 
 
 AtGeneral Motors, we are passionate about earning customers for life. This vision unites us as a team each and every day and is the hallmark of our customer-driven culture. In fact, there are a lot of exciting things to share about our company. Our story starts on November 18, 2010, when we completed the world’s largest initial public offering, emerging with a solid financial foundation that enables us to produce great vehicles for our customers and build a bright future for employees, partners and shareholders.Leading the way is our seasoned leadership team who set high standards for our company so that we can give you the best cars and trucks.

General Motors

Senior Machine Learning Engineer - Mapping

Deep, hands-on expertise in enterprise server hardware, including CPU architectures (Intel Xeon, AMD EPYC), memory configuration and population rules, PCIe topology, RAID/HBA controllers, NVMe/SAS/SATA drives, NICs, and power and thermal considerations, with the ability to size and configure systems for specific workloads. What You'll Do (Key Responsibilities): Consult with internal software engineering teams to gather and analyze workload requirements (CPU, memory, storage capacity and IOPS/throughput, GPU/accelerators, network bandwidth and latency, power and rack constraints) and translate them into specific, cost-effective server and storage configurations.

Cloudera Inc

Sr. Infrastructure Solutions Engineer (Compute & Storage)

Experience designing, reviewing, programming, commissioning, or supporting controls systems for data centers, industrial facilities, manufacturing plants, utility infrastructure, or mission-critical environments. " Experience reading, developing, and troubleshooting sequences of operation, points lists, controls architecture diagrams, and controls documentation.

Ursus, Inc.

Controls Engineer

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The Solution Engineer operates across multiple collaboration partners, maintains intermediate sales and technical certifications, and serves as a trusted technical advisor during the sales cycle—bridging customer business needs with practical, scalable Modern Workplace solutions. Maintain intermediate technical certifications for 2–3 Modern Workplace and Collaboration partners in the areas of collaboration platforms, contact center platforms, telephony solutions, meeting room hardware, and other supporting collaboration technologies.

Constantly growing in response to the needs of our customers in all sectors and verticals, SHI has transformed itself from a $1 million "software-only" regional reseller into a $8.5 billion global provider of information technology products and services. Dynamic, scalable, innovative solutions delivered with world-class customer support have made SHI the complete IT hardware, software and professional services solution provider it is today.
Under the guidance of our current ownership for nearly 30 years, SHI has never been faced with a merger or acquisition that could distract us from supporting our customers. Remaining focused on the job at hand has allowed us to forge long-term relationships with the clients and OEM partners who remain our most loyal and ardent supporters. The most important metric by which success can be measured - the rate at which we retain our customers - is 99%, ranking SHI among the highest in our industry or any other!

SHI International

Presales Solutions Engineer - Collaboration

You will own the cost analysis logic, waste detection rules, anomaly detection workflows, and the front-end dashboards that engineering teams and finance stakeholders rely on - working alongside Databricks engineers and FinOps analysts as the subject matter expert who bridges both worlds. Deep working knowledge of AWS CUR, Azure Billing Exports, and OCI billing data - including schemas, amortization logic, and how Reserved Instances and Savings Plans flow through the data; familiarity with the FOCUS specification and cloud-agnostic cost data modeling.

Marsh & McLennan Companies, Inc.

Associate Finops Engineer

Degree must be completed prior to joining Meta Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 2+ years of experience in ASIC design, silicon engineering, or a related technical field Proficiency in C++ and Python for developing simulation models, automation frameworks, and performance analysis tools Experience in ASIC performance modeling, microarchitectural analysis, or pre-silicon simulation for custom silicon or SoC designs Experience with the performance analysis of data center, AI accelerator, or high-performance computing workloads on custom silicon Experience developing cycle-accurate or transaction-level performance models using C++ and SystemC for complex digital systems, including processors, memory subsystems, or high-speed interconnects Experience defining microarchitectural specifications and driving cross-functional alignment across architecture, RTL, and physical design teams Experience with assembly programming languages, and with compiler technologies Experience developing Python-based automation pipelines for simulation orchestration, regression testing, and performance data analysis Experience writing and optimizing compute/collective kernels in CUDA or equivalent GPU programming frameworks Familiarity with post-silicon performance validation and model-to-hardware correlation methodologies Experience with AI numerics, data types, math functions, and precision/accuracy analysis Experience with high-level synthesis, power-performance-area trade-off analysis, or PPA-driven microarchitectural optimization Experience building or scaling performance modeling infrastructure for hyperscale data center ASICs, including network, storage, or AI inference accelerator designs Experience with hardware description languages (e.g., SystemVerilog, VHDL) and simulation environments used in ASIC development flowsMeta builds technologies that help people connect, find communities, and grow businesses. In this role, you will establish functional and performance modeling methodologies and long-term silicon roadmap strategy, as well as develop and analyze workloads, partnering with architecture, design, and software teams to ensure Meta's infrastructure silicon meets the demanding throughput, latency, and efficiency targets required at hyperscale.

Meta Platforms Inc

ASIC Engineer, Architecture

This role involves building technical relationships with OEMs, providing training to sales teams and customers, managing the solution practice pipeline, and engaging with various client contacts to identify technology opportunities across Data Center, Cloud, Network, Security, and Services spaces. Ability to design data center infrastructures that include hybrid cloud, hyper converged, software-defined data center (SDDC), infrastructure/platform as a service, automation, containerization, and Data Center Management Platforms- Intermediate.

Solutions Engineer - Commercial

As a Staff Software Engineer on the Data Platform team, you will be responsible for solving engineering problems of the largest complexity and scale within your team. Write (Not only) SQL queries that run production, user-facing systems, or extract data from our data warehouse.

Hired Recruiters

In this role, you will work at the intersection of server systems, AI applications and data center operations, partnering with hardware design, firmware, software, networking, and capacity engineering teams to validate and scale cutting-edge AI hardware systems from early bring-up through production readiness. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Production Systems Engineer, AI Systems

The Fortinet Security Fabric platform delivers broad, integrated, and automated protections across the entire digital attack surface, securing critical devices, data, applications, and connections from the data center to the cloud to the home office. This critical pre-sales role will be instrumental in accelerating the adoption of our solutions that help customers secure the creation and usage of AI applications, including homegrown AI and popular agentic AI tools.

Fortinet Inc

AI Sales Engineer

Currently has, or is in the process of obtaining, a Master's Degree in Electrical Engineering, Computer Engineering or related areas Programming skills in C, C++ or related Object Oriented Programming Knowledge of Computer Architecture concepts such as processor architecture, memory systems and on-chip interconnection networks Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment Intent to return to degree-program after the completion of the internship/co-op Currently has, or is in the process of obtaining, a PhD degree in Electrical Engineering, Computer Engineering or related areas Experience in GenAI or machine learning architectures or related experience Experience in developing AI kernels, CUDA programming, parallel programming, C++ code for hardware simulators and exposure to performance and numerical analysis of ASIC designs Creativity and problem solving capabilitiesMeta builds technologies that help people connect, find communities, and grow businesses. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

ASIC Engineer Intern, Architecture

Experience authoring test plans for complex chipsets for functional, stress, and performance testing Experienced in the integration of lab tools for automated workflows with large-scale deployments Familiarity with debugging tools for systems-on-chip (SoCs) - e.g., JTAG, GDB, DSTREAM, Trace32 2+ years of experience scripting automation in Python or equivalent Proficiency in continuous integration/continuous delivery tools 7+ years of experience with a subset of one of the following domains: Compute Systems, Storage Systems, Accelerated Compute Systems/HPC, Kernel/Firmware Development and/or testing, Post Silicon BringupMeta builds technologies that help people connect, find communities, and grow businesses. Drive and lead end-to-end system validation, and deployment for cutting-edge Compute and Storage hardware platforms, including CPUs, Flash, Hard Disk Drives and Data Center Processing Units (DPUs) in data center environments Proactively create experiments and tooling to diagnose and root cause hardware, firmware, and software failures across compute, storage, and networking systems using telemetry, logs, and hands-on debugging Design and implement robust system-level test plans, including functional, stress, and performance tests.

Production Systems Engineer, NPI

This role involves building technical relationships with OEMs, providing training to sales teams and customers, managing the solution practice pipeline, and engaging with various client contacts to identify technology opportunities across Data Center, Cloud, Network, Security, and Services spaces. Ability to design data center infrastructures that include hybrid cloud, hyper converged, software-defined data center (SDDC), infrastructure/platform as a service, automation, containerization, and Data Center Management Platforms - Intermediate.

SHI International Corp

Solutions Engineer - Enterprise

Degree must be completed prior to joining Meta Proficiency in C++ and Python for developing simulation models, automation frameworks, and performance analysis tools Experience in ASIC performance modeling, microarchitectural analysis, or pre-silicon simulation for custom silicon or SoC designs Experience with the performance analysis of data center, AI accelerator, or high-performance computing workloads on custom silicon Experience developing cycle-accurate or transaction-level performance models using C++ and SystemC for complex digital systems, including processors, memory subsystems, or high-speed interconnects Experience defining microarchitectural specifications and driving cross-functional alignment across architecture, RTL, and physical design teams Experience with assembly programming languages, and with compiler technologies Experience developing Python-based automation pipelines for simulation orchestration, regression testing, and performance data analysis Experience with AI numerics, data types, math functions, and precision/accuracy analysis Experience building or scaling performance modeling infrastructure for hyperscale data center ASICs, including network, storage, or AI inference accelerator designs Experience writing and optimizing compute/collective kernels in CUDA or equivalent GPU programming frameworks Familiarity with post-silicon performance validation and model-to-hardware correlation methodologies Experience with hardware description languages (e.g., SystemVerilog, VHDL) and simulation environments used in ASIC development flows Experience with ML domain knowledge including GenAI inference and Attention mechanisms Experience with high-level synthesis, power-performance-area trade-off analysis, or PPA-driven microarchitectural optimizationMeta builds technologies that help people connect, find communities, and grow businesses. In this role, you will establish functional and performance modeling methodologies and long-term silicon roadmap strategy, as well as develop and analyze workloads, partnering with architecture, design, and software teams to ensure Meta's infrastructure silicon meets the demanding throughput, latency, and efficiency targets required at hyperscale.

ASIC Engineer, Performance Architecture and Modeling (University Grad)

Support end-to-end system validation, and deployment for cutting-edge Compute and Storage hardware platforms, including CPUs, flash, and data center processing units (DPUs) in data center environments Proactively create experiments and tooling to diagnose and root cause hardware, firmware, and software failures across compute, storage, and networking systems using telemetry, logs, and hands-on debugging Design and implement robust system-level test plans, including functional, stress, and performance tests Drive component vendors and system manufacturers to resolve hardware and firmware issues identified during production operations Interface with external vendors and internal teams to understand the system architecture and develop Hardware Fault Management for various server products Drive new platform enablement, hardware validation, tooling specification, and integration, customer workload testing, and experiment creation to detect and diagnose hardware/firmware/software health issues Leverage understanding of RAS (reliability, availability, serviceability) to improve error reporting and error handling mechanisms for better operation quality and cost/efficiency Analyze production failure data to identify systemic trends and drive corrective actions with internal teams and external vendors Create and maintain dashboards and data visualizations to surface hardware health signals and track remediation progress across the fleet Drive necessary discussions with external and internal teams on test specifications and methodologies to improve test quality continuously, both within Meta, and in the broader industryCurrently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. JTAG, GDB, DSTREAM, Trace32 Working/functional knowledge of common bus protocols such as I2C, SPI, USB, LPDDR, and/or PCIe 2+ years of experience scripting automation in Python or equivalent 3+ years of experience supporting ASIC development (silicon bringup, characterization) Experience with x86 or ARM-based CPUs and their subsystems (e.g., memory, inter-chiplet communications, RAS/DFT, power management), SSDs, or DPUs/SmartNICMeta builds technologies that help people connect, find communities, and grow businesses.

Production Systems Engineer, Fleet AI Systems

Albany, NY; Albuquerque, NM; Atlanta, GA; Austin, TX; Baltimore, MD; Baton Rouge, LA; Bentonville, AR; Birmingham, AL; Boise, ID; Boulder, CO; Buffalo, NY; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Columbus, OH; Dallas, TX; Denver, CO; Des Moines, IA; Detroit, MI; Fort Worth, TX; Ft Lauderdale, FL; Greenville, SC; Harrisburg, PA; Hartford, CT; Houston, TX; Indianapolis, IN; Jackson, MS; Jacksonville, FL; Kansas City, MO; Knoxville, TN; Lincoln, NE; Louisville, KY; Memphis, TN; Miami, FL; Milwaukee, WI; Minneapolis, MN; Montvale, NJ; Morristown, NJ; Nashville, TN; New Orleans, LA; Oklahoma City, OK; Omaha, NE; Orlando, FL; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Providence, RI; Raleigh, NC; Richmond, VA; Rochester, NY; Salt Lake City, UT; San Antonio, TX; Shreveport, LA; St Louis, MO; Tallahassee, FL; Tampa, FL; Tempe, AZ; Virginia Beach, VA; Winston-Salem, NC. Qualifications: Minimum three years of recent experience of platform administration experience focusing on Azure Databricks which includes Unity catalog, Lakebase Postgres, Databricks Apps and Genie Agent; Azure Data Lake Storage (ADLS), and Azure Data Factory (ADF).

KPMG International Cooperative

Senior Engineer, ADL Platform Admin

Today, Celestica delivers innovative supply chain solutions globally to customers in strategic two operating and reporting segments: Advanced Technology Solutions (ATS) and Connectivity and Cloud Solutions (CC): ATS: This segment serves customers in complex, regulated and high-reliability markets such as Industrial & Smart Energy, Aerospace & Defense, Semiconductor Capital Equipment, and HealthTech. Backed by comprehensive capabilities and a global network across North America, Europe and Asia, Celestica helps customers gain competitive advantage with the quality, flexibility and resiliency they need to respond quickly to shifts in demand.

Data Engineer Jobs in Austin, TX

Acoustics Engineer, Capacity Delivery Fluidstack Ltd

Electrical Engineer, Modular R&D Fluidstack Ltd

Staff Software Engineer Vectra AI

Senior Machine Learning Engineer - Mapping General Motors

Sr. Infrastructure Solutions Engineer (Compute & Storage) Cloudera Inc

Controls Engineer Ursus, Inc.

Presales Solutions Engineer - Collaboration SHI International

Associate Finops Engineer Marsh & McLennan Companies, Inc.

ASIC Engineer, Architecture Meta Platforms Inc

Solutions Engineer - Commercial SHI International

Staff Software Engineer Hired Recruiters

Production Systems Engineer, AI Systems Meta Platforms Inc

AI Sales Engineer Fortinet Inc

ASIC Engineer Intern, Architecture Meta Platforms Inc

Production Systems Engineer, NPI Meta Platforms Inc

Solutions Engineer - Enterprise SHI International Corp

ASIC Engineer, Performance Architecture and Modeling (University Grad) Meta Platforms Inc

Production Systems Engineer, Fleet AI Systems Meta Platforms Inc

Senior Engineer, ADL Platform Admin KPMG International Cooperative

Staff Engineer, Manufacturing DFA Celestica Inc

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