Engineering Structures Jobs in Austin Tx Remote

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

***Multiple Openings***

As a dedicated Quality Property Reinspector, you will ensure a quality property repair estimate and valuation product by focusing on targeted areas to continuously calibrate the reinspection process, validates reported findings and provides an objective subject matter expert (SME) knowledge to the Property Claims community and Third-Party vendors. Drives USAA’s financial strength by measuring and reporting estimate accuracy for Property Claims and Third-Party vendors.

This is a field-based role that will require you to reside and work within one of the following regions: San Antonio, TX, Austin, TX, Dallas/Ft Worth, TX, or Houston, TX. Candidates who are willing and able to work in the following regions: San Antonio, TX, Austin, TX, Dallas/Ft Worth, TX, or Houston, TX are encouraged to apply. Relocation assistance is not available for this position.

What you’ll do:

• Measures property estimates accuracy and efficiency through conducting thorough, timely re-inspections/audits of property and property repair estimates, and reports on payment accuracy and compliance by method of inspection (Staff, PDRP, Independents and Third-Party vendors).
• Reports reinspection/audit findings on estimate accuracy and compliance by method of inspection (Staff, PDRP, Independents and Third-Party vendors) for corporate score cards.
• Assesses the health of property estimating through participation in ad-hoc and market audits, working closely with Claims stakeholders to identify areas for improvement.
• Provides objective, proactive, and actionable feedback of Physical Damage (PD) policy, procedures and regulations to the Claims Stakeholders and Third-Party vendors.
• Creates awareness and drives understanding of Property adjusting and estimating procedures by delivering a work product that is consistent and compliant with policy, procedures, and regulations to Claims Stakeholders.
• Serves as a Property Adjusting SME on property estimating through post audit calibration meetings, ride-a-longs with other Property employees inspecting property, training materials, Property Director teleconferences and Property Champion teleconferences.
• Applies expert knowledge of P&C insurance industry products, services, and processes to include P&C insurance policy contracts and coverages, USAA property estimate/repair process and procedures.
• Provides support for the presentation, discussion, and auditing of diagnostic estimates within key regional markets, contributing to the assessment of estimate quality. During a catastrophe, or post event, performs property reinspections for catastrophe claims with a minimum of 28 consecutive days during the catastrophe event or post event. Requires working time requirement of 7 consecutive days, 7:00AM 7:00PM, member time.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you’ll have:

• High School Diploma or General Equivalency Diploma.
• 2 years relevant property field adjusting experience.
• Experience writing estimates in Xactimate and XactAnalysis.
• Knowledge and experience of property claims contracts.
• Knowledge of property construction and structural repair techniques.
• Working knowledge of Microsoft Office applications (Outlook, Word, Excel).

What sets you apart:

• Previous experience managing TPA estimating, QA, Audits.
• Strong analytical skills with demonstrated ability to perform root cause analysis and provide useful insights.
• 4+ recent years writing Dwelling estimates in Xactimate and XactAnalysis.
• 4+ recent years of working property claims contract knowledge.
• Experience working with both internal and external partners/suppliers.
• Willingness to travel at least one week per month.
• Currently reside or work within any of the following regions: San Antonio, TX, Austin, TX, Dallas/Ft Worth, TX, or Houston, TX.

Physical Demand Requirements:

• Ability to lift a minimum of 35 pounds to include lifting a ladder in and out of the trunk of a car.
• Ability to climb ladders and traverse roofs, this includes the ability to work at heights while inspecting roofs and attics.
• Ability to crouch and stoop to inspect confined attic spaces and go beneath homes into crawl spaces.
• Meet all USAA safe driving requirements including verification of driving record through MVR & possession of valid driver’s license.

​The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Compensation range: $77,120-$147,390.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on .

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Build your career with Jabil! We challenge and empower you to make most of your talents, working with outstanding colleagues from diverse backgrounds who share your drive and passion to make Jabil grow!

Location/Division Specific Information – Austin, TX / USA - Remote

**This position supports hybrid work schedule depending on organization needs.**

How will you make an impact? –

Jabil is seeking a DCI Test Development Engineer who will directly contribute to the transformative growth within our Enterprise and Infrastructure division by applying unique and innovative approaches to solving problems within a large-scale software and data center infrastructure. The DCI Test Development Engineer plays a vital role in ensuring the quality and reliability of hardware products, contributing to the overall success of the manufacturing process and customer satisfaction. You will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and data center infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil’s world-class manufacturing environments.

What will you do?

• Test System Development: Design and develop test systems and procedures for manufacturing processes. This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware.
• Develop and implement automated manufacturing test sequences in Python that interface with BMS and PLC hardware to validate the functional performance, communication protocols, and safety logic of liquid cooling equipment.
• Test Software Development: Create, validate, release, and maintain test software and scripts that automate the testing process. This software may include code for controlling test equipment, collecting and analyzing data, and generating test reports.
• Test Sustaining: Support and maintenance for the manufacturing server (L10) and rack (L11) level test software and infrastructure deployed at our production facilities, including the implementation of minor system configuration changes (new IPNs)
• Documentation: Maintain comprehensive documentation of test procedures, specifications, and Infrastructure
• Collaboration: Work closely with cross-functional teams, including hardware engineers, manufacturing engineers, controls engineer, and quality assurance personnel, to ensure alignment on testing requirements and quality standards
• Continuous Learning: Stay updated on the latest advancements in testing technologies, methodologies, and industry best practices to keep manufacturing processes competitive and up to date
• Definition and collaboration on overall test infrastructure and application architectures

How will you get here?  

Education:  

• BS degree in Electrical/Computer Engineering, Computer Science or related field is required

Experience:  

• 5-8 years’ experience in a software manufacturing test development/sustaining with enterprise server, storage or networking products is required
• 10+ years of relevant experience in a software manufacturing test development/ sustaining with enterprise server, storage or networking products and some college coursework in lieu of a 4- yr. degree, will be considered
• Excellent verbal and written communication skills is required

Knowledge, Skills, Abilities:  

• Expertise in the following programming/scripting languages: Python, Java, BASH. C, C++, experience a plus
• Linux development expertise with a solid understanding of its fundamentals: CentOS/Ubuntu
• Python for hardware automation, with a deep understanding of industrial communication protocols (Modbus, BACnet, or Ethernet/IP) and the ability to interpret P&IDs and electrical schematics for cooling systems; experience in designing physical test stations and sensor integration is highly preferred.
• Expertise in the creation and configuration (DHCP, PXE boot, nginx) of Virtual Machines (VMs) using VMWare
• Expertise with leading edge networking systems, hardware, software and protocols including but not limited to enterprise ethernet datacenter switching/routing L1, L2, and L3 (BGP, DHCP Relay, ECMP). Arista CloudVision is a plus
• Experience with code versioning tools (Git preferred)
• Strong knowledge of professional software engineering practices for the complete software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Ability to travel up to 10% globally as required

Business Area:

Seniority Level:

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

The Data Platform Pillar is the bedrock of Cloudera's technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.

As a Staff Software Engineer, Airflow, you will be a key technical leader, responsible for the architecture, technical vision, and strategic evolution of the Apache Airflow-based workflow orchestration platform within the company's data ecosystem. You will be expected to solve the most complex, ambiguous, and high-impact technical problems that span multiple teams or organizational boundaries.

As a Staff Software Engineer you will:

• Technical & Architectural Leadership: Drive the multi-quarter technical roadmap and architecture for the Airflow platform, ensuring it is secure, highly scalable, reliable, and cost-efficient for enterprise-grade workloads.

• Complex Problem Solving: Design and implement solutions for the most challenging technical issues, such as extreme scale, multi-tenancy isolation, complex scheduling, and hybrid/multi-cloud deployment models.

• Cross-Functional Impact: Collaborate closely with product management, principal engineers, and other platform teams (e.g., Spark, Kubernetes) to define and deliver core orchestration capabilities that influence the entire data platform.

• Engineering Excellence: Define and champion best practices, performance optimization, and quality standards (observability, testing, and fault tolerance) for the Airflow service and its integrations.

• Mentorship: Mentor senior and junior engineers on complex technical design, best practices, and execution, elevating the overall technical capacity of the team and organization.

• Open Source: Maintain significant contributions and influence within the Apache Airflow open-source community, aligning the project's roadmap with product strategy.

We are excited if you have (Required Qualifications):

• Bachelor's degree in Computer Science or equivalent, and 6+ years of experience

• Deep Airflow Expertise: Deep, hands-on knowledge of Apache Airflow internals (scheduler, executor, serialization, REST APIs) and complex DAG authoring/optimization.

• Programming: Mastery in Python, some Java experience and extensive experience with core data platform technologies and cloud-native deployments (e.g., Kubernetes, Cloud Composer, AWS/GCP/Azure).

• Systems Thinking: Demonstrated ability to drive design and architectural decisions with a focus on non-functional requirements (security, performance, high availability, fault tolerance).

• Leadership: Proven ability to lead and drive technical projects across multiple teams without direct reporting authority.

You may also have:

• Experience defining the architecture for multi-tenant, service-oriented data platforms.

• Significant contributions to Apache Airflow or related open-source projects.

• Background in performance tuning and profiling large-scale Python and distributed applications.

• Familiarity with data governance and security frameworks (e.g., Ranger, Kerberos) and their integration with workflow orchestration.

Why this role matters:

You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.

Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.

This role is not eligible for immigration sponsorship.

What you can expect from us:

• Generous PTO Policy

• Support work life balance with Unplugged Days

• Flexible WFH Policy

• Mental & Physical Wellness programs

• Phone and Internet Reimbursement program

• Access to Continued Career Development

• Comprehensive Benefits and Competitive Packages

• Paid Volunteer Time

• Employee Resource Groups

EEO/VEVRAA

#LI-BV1

#LI-REMOTE

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA