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Subsurface Business Development Specialist jobs at Amazon in United States, Houston

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Houston
8 jobs found
09.11.2025
A

Amazon HPC SA Specialist Subsurface - Global Energy Vertical United States, Texas, Houston

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Key job responsibilities Scaling laws Hardware informed efficient model architecture, low precision training Optimization methods, learning objectives, curriculum design Deep learning theories on efficient hyperparameter search and self supervised learning...
Description:
Description

Key job responsibilities- Scaling laws
- Hardware-informed efficient model architecture, low-precision training
- Optimization methods, learning objectives, curriculum design
- Deep learning theories on efficient hyperparameter search and self-supervised learning
- Learning objectives and reinforcement learning methods
- Distributed training methods and solutions
- AI-assisted research

Basic Qualifications

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF


Preferred Qualifications

- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch

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14.09.2025
A

Amazon Sr Worldwide Specialist - GenAI Amazon Bedrock United States, Texas, Houston

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DESCRIPTIONKey job responsibilities Work closely with foundation model partners to drive GTM motions Leverage your deep domain expertise to create best in class field enablement and sales strategy. Own reporting...
Description:
DESCRIPTION

Key job responsibilities
- Work closely with foundation model partners to drive GTM motions- Leverage your deep domain expertise to create best in class field enablement and sales strategy.- Own reporting and planning cadences to AWS executives on GTM plan execution.- Demonstrate thought leadership and be able to credibly represent AWS at industry events, conferences, symposiums, etc.
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

BASIC QUALIFICATIONS

- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of professional or military experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules


PREFERRED QUALIFICATIONS


Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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13.09.2025
A

Amazon Subsurface Business Development Specialist United States, Texas, Houston

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Conduct thorough research and analysis of the Energy and Oil and Gas industry to identify trends, challenges, and opportunities for HPC adoption. Monitor and stay updated on competitor activities, pricing...
Description:
DESCRIPTION

Key job responsibilities
Market Research and Analysis:
• Conduct thorough research and analysis of the Energy and Oil and Gas industry to identify trends, challenges, and opportunities for HPC adoption.
• Monitor and stay updated on competitor activities, pricing strategies, and industry developments.
Business Strategy Development:
• Develop and execute a comprehensive business development plan focused on the Energy and Oil and Gas sector.
• Identify target clients, industry segments, and potential strategic partnerships to expand the company's presence in the market.
Client Engagement and Relationship Building:
• Cultivate and maintain strong relationships with existing clients in the energy and oil and gas sector.
• Prospect and engage with new clients to understand their subsurface needs and align the company's offerings to meet those requirements.
Solution Presentation and Sales:
• Collaborate with the technical team to create compelling presentations and proposals tailored to address the specific needs of energy and oil and gas clients.
• Lead discussions and presentations with key decision-makers to showcase the value of the company's subsurface solutions and services.
Project Management:
• Work closely with internal teams to ensure successful implementation and delivery of subsurface solutions for energy and oil and gas clients.
• Oversee the project lifecycle, ensuring adherence to timelines, budgets, and quality standards.

BASIC QUALIFICATIONS

- Bachelor's degree
- Bachelor's degree in technical field or equivalent experience
- 7+ years of experience developing strategies that influence leadership decisions at the organizational level with large energy organizations
- 7+ years of experience interpreting data and making business recommendations within HPC applications in the energy domain


PREFERRED QUALIFICATIONS

- Experience with technology transformation initiatives
- Industry Certifications: Relevant certifications in subsurface engineering domains or project management would be advantageous.

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23.08.2025
A

Amazon Sr Database Specialist Solutions Architect United States, Texas, Houston

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DESCRIPTIONAs a Database Solutions Architect (SA) you will design complete solution architectures based on AWS database services. The Database Specialist SA will collaborate with our customers and partners on key...
Description:
DESCRIPTION

As a Database Solutions Architect (SA) you will design complete solution architectures based on AWS database services. The Database Specialist SA will collaborate with our customers and partners on key engagements. You will engage with Database Specialists Sellers and other stakeholders supporting sales activities such as customer discovery, ideating, white board solutioning, presenting, educating, leading technical deep dives, and other technical sales support activities for an assigned US division and territory. You will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects in order to develop or migrate Applications from on-premise databases like Oracle/SQL Server to AWS eg. AWS RDS, Aurora-PostgreSQL/MySQL or other Open Source platforms.You will focus on customer solutions such as OLTP/OLAP environments, designing and deploying future state data services and building and/or designing reference configurations to enable our customers and influence AWS RDS, Aurora, DynamoDB and other NoSQL databases adoption.Key job responsibilities
- Champion industry best practices through technical thought leadership content, including AWS blogs, white-papers, and reference architectures
- Present at key industry events including AWS re:Invent, AWS Summit, and other conferences- Provide feedback to AWS product teams on customer specific requirements and act as primary point of contact for urgent customer issues in your technical specialty
- Stay current with emerging trends in the Database, Analytics, and Generative Artificial Intelligence (GenAI) technologies to help customers innovate and maintain competitive advantage
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

BASIC QUALIFICATIONS

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- 3+ years deep knowledge and experience with at least one commercial or open source relational database (e.g. Oracle, SQL Server, PostgreSQL, MySQL), or non-relational database (e.g. MongoDB, Cassandra, DynamoDB).


PREFERRED QUALIFICATIONS

- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of software development tools and methodologies
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience in a technical role within a sales organization
- Experience architecting/operating solutions built on AWS

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28.06.2025
A

Amazon Software Development Engineer AWS Holmes United States, Texas, Houston

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DESCRIPTIONYou will work on challenges including natural language processing, distributed system design, scalable API development, machine learning model integration, and automated testing frameworks. The role involves building serverless architectures, selecting...
Description:
DESCRIPTION

You will work on challenges including natural language processing, distributed system design, scalable API development, machine learning model integration, and automated testing frameworks. The role involves building serverless architectures, selecting and implementing appropriate database solutions, designing complex content processing pipelines, and ensuring high availability and performance at massive scale.Great candidates for this position possess strong computer science fundamentals and experience with machine learning or NLP technologies. You will apply these skills to solve complex problems in content analysis, automated assessment, and security validation. You'll have the opportunity to influence technology choices and architectural decisions that shape our services.As a member of our engineering team, you'll collaborate with AI/ML scientists, work with different language models, and help define the future of content quality management at AWS. You'll have the chance to become a technical leader in our organization, driving innovation in how we ensure millions of AWS customers receive accurate, secure, and high-quality technical content.
Key job responsibilities
You will help our team solve problems such as:
- Design and implement fault-tolerant systems and services that run at large scale and ensure high availability guarantees
- Dive into complex architectures, research and identify new technology that can help optimize performance
- Design and implement systems that will help our service achieve 5x the current scale within a year
- Design and implement software that will help minimize outages and improve the availability of our serviceAbout the team
*Diverse Experiences*
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
*Why AWS?**Inclusive Team Culture**Mentorship & Career Growth*
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
*Work/Life Balance*

BASIC QUALIFICATIONS

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language


PREFERRED QUALIFICATIONS

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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16.06.2025
A

Amazon HPC Specialist Architect United States, Texas, Houston

Limitless High-tech career opportunities - Expoint
DESCRIPTIONAWS is looking for a HPC Specialist Architect for the Energy & Utilities Business Unit, who will be a subject matter expert helping customers design solutions that leverage our HPC...
Description:
DESCRIPTION

AWS is looking for a HPC Specialist Architect for the Energy & Utilities Business Unit, who will be a subject matter expert helping customers design solutions that leverage our HPC services. As part of the Energy & Utilities Industry Specialist Solutions Architecture team, you will work closely with customers in various geographies to enable large-scale customer use cases and drive the adoption of AWS for HPC. You will interact with other Solutions Architects in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage HPC services on AWS. You will also create field enablement materials for the broader SA population, to help them understand how to integrate AWS solutions into customer architectures. You drive effective feedback gathering from customers, and you distill and translate that feedback into clear business and technical requirements for product and engineering teams to review. You sponsor the creation of new products and features from these requirements, working closely with product and engineering teams to minimize requirements drift from your customer’s needs.AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceKey job responsibilities
- Customer Advisor- You will interact closely with our customers Implement and deploy state of the art HPC solutions. You will build prototypes, PoCs, and explore new solutions.
- Thought Leadership – Evangelize AWS HPC services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.

BASIC QUALIFICATIONS

- Development experience with HPC frameworks for workloads in a domain such as oil and gas, automotive / aerospace, financial services or pharmaceuticals. Proficient in one or more of the following programming languages: C++, Python, Cuda, or Bash.
- Experience in architecting an HPC platform with scheduling middleware (e.g. Slurm, Torque, Symphony or GridServer) and in deployment, tuning and management of HPC technologies in a multi-user environment.
- High level understanding of the underlying infrastructure platform and resources to run HPC services.
- Ability and willingness to develop AWS technical proficiency within the first 6 months of employment.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients. Proven ability to understand HPC user requirements and map these to solutions.
- Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military.


PREFERRED QUALIFICATIONS

- Performance optimization experience with computationally intensive applications, particularly in oil and gas subsurface applications, reservoir simulation, and seismic data processing.
- Expertise in parallel programming models for both loosely and tightly coupled applications, including proficiency with MPI (OpenMPI, MPICH), OpenMP, and hybrid parallelization strategies, and GPU programming using CUDA, OpenACC, or similar technologies, with demonstrated ability to optimize applications for GPU architectures.
- Significant experience in infrastructure architecture and networking. Experience with infrastructure as code technology such as Cloud Formation, CDK or equivalent.
- AWS technical proficiency - have architected and implemented HPC solutions on AWS.
- Master's degree or higher in computer science, engineering, mathematics or equivalent, or experience in a professional field or military

Show more

These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
Key job responsibilities Scaling laws Hardware informed efficient model architecture, low precision training Optimization methods, learning objectives, curriculum design Deep learning theories on efficient hyperparameter search and self supervised learning...
Description:
Description

Key job responsibilities- Scaling laws
- Hardware-informed efficient model architecture, low-precision training
- Optimization methods, learning objectives, curriculum design
- Deep learning theories on efficient hyperparameter search and self-supervised learning
- Learning objectives and reinforcement learning methods
- Distributed training methods and solutions
- AI-assisted research

Basic Qualifications

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF


Preferred Qualifications

- PhD in Computer Science, Electrical Engineering, Mathematics or related field
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks, including PyTorch

Show more
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