Senior Customer Engineer - AI/ML

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Woolpert

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Woolpert is a leading global geospatial and engineering services provider specializing in delivering cutting-edge mapping, analysis, and modeling solutions. With expertise in urban planning, environmental analysis, asset maintenance, and smart city initiatives, Woolpert utilizes advanced technologies such as Aerial LiDAR and 3D modeling to support sectors like government, mining, and energy. They significantly contribute to data-driven decision-making and enhance operational efficiency in various projects worldwide.

Design • Architecture • Engineering • Planning • Geospatial

1001 - 5000 employees

Founded 1911

🏛️ Government

💰 $2.9M Venture Round on 2022-11

📋 Description

• As a Google AI/ML Customer Engineer, you will play an integral part to the pre-sales customer journey. • Your role will be to help uncover technical pain points that align Woolpert Services and Google technologies. • This will be done by first listening to the customer and then technically qualifying the opportunity through a series of workshops, demonstrations, white boarding, and ideation sessions. • All of our customers are unique, this role will require someone who can relate with our customers, be creative, and position all opportunities as a Win-Win for the customer, Woolpert, and Google. • Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure. • Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and bench-marking. • Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements. • Travel to customer sites and events as needed. • Be responsible for business growth and workload acceleration on AI infrastructure products and solutions for GCP.

🎯 Requirements

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. • 10 years of experience with cloud native architecture in a customer-facing or support role. • 5 years of experience with cloud infrastructure. • 5 years of experience in a technical role focused on AI infrastructure or related areas. • Experience building and operationalizing machine learning models. • Experience with GPU programming (e.g., CUDA, OpenCL) and optimization techniques. • Experience with high-performance computing (HPC) environments and contributions to open-source projects related to AI or infrastructure. • Experienced training and fine-tuning large models (e.g., image, language, segmentation, recommendation, genomics) with accelerators. • Experience with performance profiling tools (e.g., TensorFlow profiler, PyTorch profiler, Tensorboard). • Experience designing/architecting large-scale infrastructure farms for specialist AI use cases. • Experience with running MLPerf benchmarks, distributed training, and optimizing performance versus costs. • Excellent communication, presentation, and teamwork skills.

🏖️ Benefits

• Diverse experiences: Work on meaningful projects that improve quality of life around the world. • Freedom to work program: Set your own schedule and location (as appropriate). • Principal program: Earn the opportunity to become an owner of the firm. • Unlimited vacation: Take time off when it makes sense for you. • Career development: Explore a wide range of learning and growth opportunities within and across industries. • Health, life, vision, and dental insurance: Cover all your medical bases. • Paid sick time, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more: Choose the benefits that work best for you.