Solutions Architect (AI/ML)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Solutions Architect (AI/ML): Serving as the primary technical point of contact for customers, focusing on AI/ML workloads within high-performance compute environments. Focus on creating, prototyping, and deploying tailored solutions that align with their requirements, and identifying opportunities for product enhancement.
Location: New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets.
Salary: The base salary range for this role is $165,000 to $225,000 SGD.
Company
delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.
What you will do
- Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with 's cloud infrastructure offerings, focusing on AI/ML workloads within high-performance compute (HPC) environments.
- Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
- Act as a virtual member of 's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
- Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
- Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
- Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
Requirements
- B.S. in Computer Science or a related technical discipline, or equivalent experience
- 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on AI/ML inference
- Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
- Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
- Deep expertise with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL)
- Demonstrated experience with running large scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes.
Nice to have
- Code contributions to open-source inference frameworks
- Experience with scripting and automation related to AI/ML workloads
- Experience with building solutions across multi-cloud environments
- Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures
Culture & Benefits
- Medical, dental, and vision insurance - 100% paid for by
- Company-paid Life Insurance
- Flexible Spending Account
- Ability to Participate in Employee Stock Purchase Program (ESPP)
- Flexible PTO
- A casual work environment
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β