Top Tech Jobs & Startup Jobs in Austin, TX

Design and engineer modular data center products from concept to released drawings, resolve cross-discipline integration issues, support factory and field with rapid RFIs and revisions, and prototype/validate assemblies through in-person fit checks and first-article reviews.

Engineer mechanical demand flexibility for data center cooling: model thermal inertia and headroom per site, design setpoint/staging/storage strategies, validate models via instrumented field tests, quantify operating risk in degrees/minutes/margins, and collaborate with controls engineers.

Design, deploy, and standardize SCADA architecture for power, cooling, and mechanical systems across large data center sites. Integrate field device telemetry and protocols into a unified platform, build tag databases, HMI screens, and alarm logic, validate signals during commissioning, and produce clear configuration and point documentation for repeatable deployments.

Lead public affairs for data center and power projects: build community support, run responses to media/hearings/opposition, organize town halls and briefings, coordinate with development, legal, and government relations, and produce clear written materials (talking points, testimony, letters).

Model compute, network, and support hardware capacity across sites; reconcile demand with orders, inventory, and lead times; build automated capacity views for planning and procurement; detect and resolve discrepancies to prevent schedule delays.

Lead technical direction for compute qualification, own hardest hardware qualifications (first silicon, new platforms), build test automation and data pipelines, perform root-cause failure analysis, mentor engineers, and represent the lab to vendors and fleet stakeholders.

Build and operate production data pipelines integrating ERP/ATS/project management/telemetry into a queryable layer. Own the data model for a live knowledge graph. Ship SLA-backed datasets/services for tools and ML. Convert unstructured vendor/field data (PDFs, spreadsheets) into trusted structured inputs. Ensure data quality via tests, monitoring, and lineage, and use modern data stacks and LLM tools responsibly.

Design, build, and own ML/LLM systems for operations: forecasting, schedule risk detection, document extraction, and agentic systems. Handle end-to-end model lifecycle, deploy and evaluate in production, and integrate predictions into operational tools.

Lead deployment projects for robotics across factories and data center sites: coordinate vendors and integrators from survey to steady-state, own the deployment playbook (safety, commissioning, training, support), and track post-launch performance to drive fixes or decommission underperforming cells.

Lead the R&D TPM function to turn modular and behind-the-meter designs into buildable, scheduled programs. Manage portfolio dependencies across mechanical, electrical, controls, and modeling workstreams, provide executive visibility, build the TPM team and operating system, and ensure program artifacts and recovery plans keep schedules on track.