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Strider TechnologiesSolutions Engineer – Japan
Solutions Engineer at Strider Technologies driving revenue growth through consultative expertise. Engaging clients and collaborating with sales for technical integration of services.
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Hybrid Senior Solution Architect, AI and HPC
Posted last month
About the role
- Collaborate with sales teams to understand customer requirements and develop tailored solutions for their AI infrastructure needs
- Leverage expertise in cloud architectures and AI technologies to design scalable, high-performance, and cost-effective solutions
- Engage in pre-sales activities including technical presentations, demonstrations, and proof-of-concepts to showcase AI-at-Scale solutions
- Act as a trusted advisor to customers, addressing questions, concerns, and technical challenges
- Lead Proof-of-Concepts (PoC) for HPE customers expanding into Deep Learning or Machine Learning use cases
- Architect reusable end-to-end AI solutions for HPE customers and prospects
- Lead technical discussions with customers and partners to propose HPE and partner integrated solutions
- Identify solutions, define action plans, and help coordinate and deliver optimal solutions and enhancements
- Recommend configurations and settings for hardware and interconnect fabrics along with AI and HPC Solution Architects and Pre Sales Engineers
- Assist in product or technical issues towards an initial sale or renewal of a customer
- Maintain excellent communication with customers, focusing on IT managers, administrators, and specialists
- Work in collaboration with other Solution Engineers / Solution Architects to integrate the full solution pipeline
- Assess the impact of new technologies on the company’s technical solution portfolio and translate this into practice and knowledge sharing
- Actively monitor competitive activities and client advocates to anticipate and plan for competitive threats
- Increase company share of wallet through competitive takeout and leveraging other company services for better TCO/ROI
Requirements
- Bachelor's or Master's degree in Engineering, Computer Science, or similar quantitative focus preferred
- Ability to quickly prototype functionality into scripts for demos, integrations, troubleshooting, etc.
- Expertise in cloud architectures, specifically with public cloud platforms such as AWS, Azure, or Google Cloud
- Certification in cloud services is highly desirable
- Strong understanding of AI technologies, including machine learning, deep learning, and neural networks
- Familiarity with popular AI frameworks and libraries is a plus
- Experience participating in solution configurations and the creation of PoCs to meet customer requirements
- Solid knowledge of infrastructure components, including servers, storage, networking, and virtualization
- Experience with high-performance computing (HPC) and GPU-accelerated systems is advantageous
- Demonstrates expert technical skills in assigned area of specialization
- Expert knowledge of the company offerings, strategic initiatives, current trends, competitor products and strategies within area of responsibility
- Expert level written and verbal communication skills and mastery over English and local language
- Demonstrates expert consultative selling techniques, including active listening, framing, white boarding, storytelling etc.
- Broad knowledge of partner´s and non-standard partner´s offerings and how/when to leverage them for deals within area of specialization
- Strong project management knowledge or experience with excellent analytical and problem solving skills
- Understand the correlation of model, parameter density, data density - with resulting compute and storage requirements
- Understand the correlation between CPU, GPUs, memory for different types of models
- Ability to assess when is on-prem better than Cloud, or not
- Strong communicator, presenter and technologist evangelist
- Curiosity/interest in continuous learning to stay at the forefront of challenges which can be addressed through AI
- Must be fully vaccinated against COVID-19 by the employment start date where permitted by law (per COVID Policy)
Benefits
- Health & Wellbeing — comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
- Personal & Professional Development — invest in your career with specific programs catered to helping you reach any career goals you have.
- Unconditional Inclusion — unconditionally inclusive culture with flexibility to manage work and personal needs.
- Hybrid working arrangement — expectation to work on average 2 days per week from an HPE office.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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