Senior AI/ML Specialist, Solutions Architect – AI Infra & Cloud

Job not on LinkedIn

October 9

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $180k - $300k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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Lavendo

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Recruitment • HR Tech • B2B

Lavendo is a premier go-to-market (GTM) and tech sales recruiting firm based in Silicon Valley. The company specializes in building winning sales teams for startups and enterprises by providing top-performing candidates that fit the company's culture and needs. Lavendo offers a range of recruiting services with no upfront payment, promising a quick time-to-hire and a high retention rate for placed candidates. With a flat, transparent recruiting fee, Lavendo caters to a variety of sales roles from entry-level to executive positions. The firm is committed to a thorough recruitment process, ongoing support, and providing value through a strong network of tech professionals.

2 - 10 employees

🎯 Recruiter

👥 HR Tech

🤝 B2B

📋 Description

• Architect and optimize distributed training and inference systems for large-scale AI models • Design and deliver customer-focused solutions that maximize performance and business value • Lead the transition of ML pipelines from POC to scalable production systems • Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals • Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices • Provide technical leadership and mentor teams on AI infrastructure and deployment strategies • Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps

🎯 Requirements

• 5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles • Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments • Demonstrated success delivering ML products, scaling from POC to production • Deep knowledge of ML frameworks like PyTorch and JAX • Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband) • Legal authorization to work in the United States on a full-time basis without sponsorship

🏖️ Benefits

• Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families • 401(k) plan with a 4% match program • Stock options plan • Flexible remote work environment • Company-paid short-term, long-term disability, and life insurance coverage • 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers • Up to $85/month for mobile and internet • Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs • Be part of a team that operates one of the most powerful commercially available supercomputers • Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings