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Vera Solutions Jobs (NOW HIRING)

Vera Bradley

Associate System Administrator

Roanoke, IN · On-site

$65K - $70K/yr

Create and maintain documentation for implemented solutions * Configure systems to adhere to SOX, ... Health Benefits Vera Bradley offers a variety of medical, dental and vision programs to meet your ...

VDart, Inc.

SAP Finance Test Lead

Rahway, NJ · On-site

$48.25 - $65.75/hr

Test management skill - Jira, Xray, VERA TESTING TOOLS hands on experience (4+ years ... solutions to work-related problems. * Advanced proficiency in SAP ECC Finance and Costing is ...

Visa

Principal ML Scientist

Austin, TX · Hybrid

The Visa Engage, Resolve, & Assist (VERA) team in VAS focuses on innovative, AI-driven solutions for issuers, merchants and fintechs. The Chief Software Engineer - GenAI Platform in the VERA Product ...

Visa

Principal ML Scientist

Austin, TX · On-site

The Visa Engage, Resolve, & Assist (VERA) team in VAS focuses on innovative, AI-driven solutions for issuers, merchants and fintechs. The Chief Software Engineer - GenAI Platform in the VERA Product ...

Visa

Principal ML Scientist

Austin, TX · Hybrid

The Visa Engage, Resolve, & Assist (VERA) team in VAS focuses on innovative, AI-driven solutions for issuers, merchants and fintechs. The Chief Software Engineer - GenAI Platform in the VERA Product ...

Vera Bradley

Sr. Manager, Customer Insights

Roanoke, IN · On-site

Able to solve complex problems with the ability to take a new perspective on existing solutions ... Health Benefits Vera Bradley offers a variety of medical, dental and vision programs to meet your ...

SUBMER

Senior AI Data Center Electrical Engineer

Houston, TX · On-site

$102K - $133K/yr

Lead power architecture for NVIDIA GB300 (Grace Blackwell) and VR200 (Vera Rubin) Superpod ... Architect modular data center solutions (1-2 MW containers/pods) that scale efficiently into larger ...

SUBMER

Senior AI Data Center Electrical Engineer

Houston, TX · Hybrid

$102K - $133K/yr

Lead power architecture for NVIDIA GB300 (Grace Blackwell) and VR200 (Vera Rubin) Superpod ... Architect modular data center solutions (1-2 MW containers/pods) that scale efficiently into larger ...

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Vera Solutions information

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$36K

$104.9K

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How much do vera solutions jobs pay per year?

As of Aug 9, 2026, the average yearly pay for vera solutions in the United States is $104,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $123,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by consultants at Vera Solutions, and how does the team support professional growth?

Consultants at Vera Solutions often work on complex data and technology projects for social impact organizations, which can involve navigating diverse client needs and adapting to evolving project scopes. The collaborative team environment encourages knowledge sharing through mentorship, regular training sessions, and peer reviews, helping consultants overcome technical and project management challenges. Additionally, Vera Solutions supports career growth by providing opportunities to lead projects, specialize in areas like Salesforce implementation, and participate in global impact initiatives.

What are the key skills and qualifications needed to thrive as a Solutions Consultant at Vera Solutions?

To thrive as a Solutions Consultant at Vera Solutions, you need strong analytical skills, project management experience, and a background in information systems or related fields. Familiarity with Salesforce, data analysis tools, and relevant certifications such as Salesforce Administrator or Consultant are typically required. Excellent client communication, problem-solving abilities, and adaptability are key soft skills that help build client trust and navigate complex projects. These competencies are vital for designing effective data solutions that meet client needs and ensure successful implementation in the social sector.

What is Vera Solutions?

Vera Solutions is a social enterprise that provides cloud-based data management and technology consulting services, primarily to nonprofits and mission-driven organizations. The company specializes in building solutions on the Salesforce platform to help organizations track their impact, manage programs, and streamline operations. Vera Solutions aims to empower organizations with data-driven insights to improve decision-making and maximize their social impact.

What is the difference between Vera Solutions vs Data Analyst?

AspectVera SolutionsData Analyst
Required CredentialsRelevant degrees in data, IT, or related fields; experience with data management toolsDegree in statistics, mathematics, or related field; proficiency in data analysis software
Work EnvironmentConsulting firms, non-profits, international development organizationsCorporate, government, or non-profit sectors; office or remote settings
Employer & Industry UsageConsulting and social impact organizations focusing on data solutionsVarious industries including finance, healthcare, marketing, and government

Vera Solutions specializes in providing data-driven consulting services to social impact organizations, focusing on implementing data solutions and technology. Data Analysts typically perform data interpretation, reporting, and analysis across multiple industries. While both roles require strong analytical skills, Vera Solutions professionals often work in consulting environments with a focus on technology implementation, whereas Data Analysts focus on data interpretation within organizations.

What states have the most Vera Solutions jobs? States with the most job openings for Vera Solutions jobs include:
What job categories do people searching Vera Solutions jobs look for? The top searched job categories for Vera Solutions jobs are:
Vera Solutions jobs near you
Infographic showing various Vera Solutions job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $104,929 per year, or $50.4 per hour.

Senior Product Architect, Storage

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 29 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by phenomenal technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
As an AI Storage Platform Architect at NVIDIA, this position will be the linchpin between cutting-edge hardware platforms and real-world AI deployments - translating the capabilities of Rubin GPUs, Vera CPUs, BlueField DPUs, NVLink fabric, and Spectrum-X networking into validated, production-ready blueprints. Work hand-in-hand with storage ecosystem partners to co-develop reference architectures for the NVIDIA AI Data Platform and beyond, ensuring that every layer of the stack - compute, fabric, memory, and storage - is optimized for modern AI workloads!
What you'll be doing:
  • Architect end-to-end reference architectures for disaggregated inference (aligned with NVIDIA Dynamo), large-scale foundation model training, and agentic AI pipelines - co-developed with storage and ecosystem partners.
  • Design and validate storage-optimized AI infrastructure, including KV Cache tiering strategies, checkpoint acceleration, and high-throughput dataset pipelines that leverage RDMA and NVMeoF fabrics.
  • Define system-level architectures spanning Rubin graphics processors, Vera central processing units, BlueField data processing units, NVLink interconnects, and Spectrum-X Ethernet to improve efficiency across the full AI lifecycle.
  • Develop and publish reference architectures, whitepapers, and deployment guides for the NVIDIA AI Data Platform and partner-integrated solutions.
  • Drive prototyping, benchmarking, and performance validation of AI infrastructure at scale - diagnosing bottlenecks across compute, networking, and storage layers.
  • Leverage DOCA to architect DPU-offloaded data services including storage acceleration, telemetry, security enforcement, and network virtualization.
  • Collaborate with RAG and autonomous AI teams to build retrieval-optimized storage architectures, including vector database integration, low-latency object access patterns, and inference-aware caching.
  • Partner with customers and collaborators in the ecosystem to co-innovate, deliver proof-of-concepts (POCs) and MVPs that demonstrate end-to-end AI platform performance leadership.

What we need to see:
  • 12+ years of experience architecting datacenter-scale AI, HPC, or storage infrastructure as a Principal Architect, Solutions Architect, Principal Engineer, or equivalent.
  • Bachelors in Computer Science or related field (or equivalent experience).
  • Deep expertise in AI infrastructure build, including disaggregated inference architectures, LLM training pipelines, and autonomous AI system patterns.
  • Hands-on experience with RDMA (RoCEv2/InfiniBand), high-performance storage protocols (NVMeoF, GPFS, Lustre, or S3-compatible object storage), and low-latency fabric design.
  • Strong understanding of KV Cache management strategies, including tiered memory/storage hierarchies for inference optimization.
  • Familiarity with Retrieval-Augmented Generation (RAG) architectures and the storage, indexing, and retrieval patterns they demand at scale.
  • Experience with NVIDIA DOCA or equivalent DPU/SmartNIC programming frameworks for offloading data plane and storage services.
  • Proven foundation in networking: Spectrum-X Ethernet, InfiniBand, NVLink Switch fabrics, congestion control, and datacenter topologies.

Ways to stand out from the crowd:
  • Proven experience designing reference architectures jointly with storage or infrastructure OEM partners (e.g., NetApp, DDN, VAST, Pure Storage, Dell or similar).
  • Hands-on deployment experience with disaggregated inference systems, including prefill/decode separation, KV Cache offload, and request routing.
  • Deep familiarity with NVIDIA Grace-Hopper, Grace-Blackwell, or upcoming Vera-Rubin platforms and their system-level implications for AI workloads.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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