Deskripsi Pekerjaan
Are you a technical visionary with a passion for high-performance computing (HPC) and artificial intelligence? We are looking for a dedicated HPC & AI Specialist to join our high-growth team in the Central Region. In this strategic role, you will bridge the gap between complex infrastructure and business outcomes, acting as a lead consultant for our enterprise-grade AI and compute solutions.
The ideal candidate will thrive at the intersection of sales and engineering, responsible for driving the pursuit of cutting-edge software and service solutions. You will work closely with stakeholders to design scalable architectures that solve real-world problems. If you possess a deep understanding of HPC clusters, machine learning workflows, and high-level consultative skills, we want to hear from you.
Tanggung Jawab
- Lead the technical sales pursuit for complex HPC and AI-integrated service solutions.
- Consult with enterprise clients to architect scalable, performance-driven computing environments.
- Develop and deliver technical demonstrations, whitepapers, and proof-of-concepts (PoCs).
- Collaborate with cross-functional teams to align software and hardware offerings with client business goals.
- Identify emerging trends in GPU acceleration and AI/ML model deployment to enhance service offerings.
- Manage the entire solution lifecycle from discovery and requirement gathering to successful implementation.
- Provide technical leadership and ongoing advisory to key account stakeholders.
Kualifikasi
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
- Minimum 3-5 years of experience in technical sales, systems engineering, or HPC-focused consulting.
- Proven track record of managing complex technical projects and navigating enterprise sales cycles.
- Strong understanding of AI/ML frameworks (e.g., PyTorch, TensorFlow) and HPC orchestration tools (e.g., Slurm, Kubernetes).
- Excellent communication and presentation skills, with the ability to translate technical concepts for non-technical stakeholders.
- Proficiency in cloud infrastructure (AWS, Azure, or GCP) for compute-intensive workloads.
- Strategic mindset with a focus on long-term client success and solution optimization.