Nava $22M Series A: Singapore GPU-as-a-Service Fuels AI Infrastructure Hiring Boom

On April 14, 2026, Nava (formerly Kluisz.ai) announced a $22 million Series A round led by Greenoaks Capital. The AI cloud infrastructure startup, headquartered in India and Singapore, will use the funds to expand its GPU-as-a-Service platform across Southeast Asia, with Singapore as the regional hub. The round, also backed by RTP Global and Unicorn India Ventures, lands days after GITEX AI ASIA 2026 at Marina Bay Sands drew 23,000+ decision-makers to Singapore. The combined signal is unambiguous: Southeast Asia\u0027s AI infrastructure race has a new center of gravity, and hiring is accelerating fast.

Why Singapore is the AI infrastructure hub of Southeast Asia

Singapore combines three structural advantages: political stability, reliable power and fiber, and the highest concentration of AI research institutions in ASEAN (NTU, NUS, A*STAR). The government\u0027s Smart Nation strategy backs AI with direct funding, and the S$150M Enterprise Compute Initiative launched in 2025 has already unlocked over 60 AI deployments across regulated sectors. GPU-as-a-Service firms like Nava plug neatly into this demand, renting out A100, H100 and GB300 capacity to startups that cannot afford direct NVIDIA procurement.

Over 36 unicorn startups call Singapore home. Supabase joined the club in early 2026. With GITEX AI ASIA now anchored in Singapore, the gravitational pull for AI engineers has shifted away from Hong Kong and Jakarta.

Roles Nava and competitors are hiring for

We compiled the top 10 open AI infrastructure roles in Singapore based on LinkedIn postings from March and April 2026:

• GPU Cluster Engineer — Kubernetes, NCCL, SLURM
• Distributed Systems Engineer — Ray, Kafka, gRPC at scale
• CUDA/Triton Specialist — kernel optimization, Pallas
• MLOps Platform Engineer — KServe, MLflow, Weights & Biases
• Data Center Automation Engineer — power-aware scheduling, cooling telemetry
• Site Reliability Engineer (GPU-aware) — incident response for AI workloads
• Network Engineer (InfiniBand/RDMA) — 400 Gbps fabric design
• Observability Engineer — Prometheus, OpenTelemetry, DCGM
• Security Engineer (AI-native) — confidential compute, secure enclaves
• AI Product Manager — B2B SaaS and infrastructure monetization

"Hiring a senior GPU infra engineer in Singapore used to take 6 weeks. Today it takes 12 to 14 weeks and the final offer is 25% higher than 12 months ago." — CTO of a Singapore AI cloud provider, April 2026.

Salary benchmarks for April 2026

Based on our pool of 240+ offers made in Q1 2026 across Singapore AI infrastructure firms:

• Senior GPU Engineer (5+ years): SGD 14,000 to 22,000 / month
• Principal Distributed Systems: SGD 22,000 to 30,000 / month + stock
• CUDA Specialist: SGD 18,000 to 28,000 / month
• Lead MLOps: SGD 16,000 to 24,000 / month
• SRE (GPU-aware): SGD 13,000 to 19,000 / month

Expert take: hire global, anchor in Singapore

The top engineers for AI infrastructure roles are rarely locally available. Firms winning the talent war combine a Singapore-based core team (for government relations, regulated clients, and Asian time zone coverage) with remote hires from India, Vietnam, Taiwan and Indonesia. A hybrid model with quarterly Singapore on-sites is becoming the norm. For UAE parallels, see our Stargate UAE analysis and for Japan see Tokyo hiring dynamics.

GITEX AI ASIA 2026 as a hiring catalyst

The April 9-10 GITEX AI ASIA at Marina Bay Sands was more than a conference. It was a hiring fair in disguise. With 23,000+ tech buyers, 550+ enterprises and 250+ investors, it converted into hundreds of introductions and warm intros between hiring managers and engineers. In the two weeks following the event, job applications in Singapore for AI infra roles jumped 34%. Firms that attended with a clear talent pitch (equity, relocation, visa support) captured the majority of inbound candidates.

Microsoft MPowerHer as talent pipeline signal

Separately, Microsoft Singapore announced the MPowerHer program (April 9) in partnership with SG Women in Tech, Mums@Work and Code; Without Barriers. The 18-month curriculum targets 5,000 women for practical AI and digital skills. In 18 to 24 months, this program will feed the mid-level talent pipeline, easing some of the pressure at the mid-senior end. Firms that partner directly with MPowerHer get early access to graduates.

What this means for your 2026 hiring plan

If your firm relies on GPU capacity (AI SaaS, inference APIs, fine-tuning shops, robotics simulation), three moves are overdue. First, lock in capacity contracts with Nava, CoreWeave, Lambda, Google Cloud or AWS before Q3 when the Stargate and Bruyeres-le-Chatel builds absorb market supply. Second, hire one senior GPU infra lead now. This role has 14-week time-to-fill and controls your platform reliability. Third, start a junior pipeline: 2 to 3 mid-level engineers per senior lead is the target ratio. Our Singapore remote hiring guide has the exact framework.

Expert take: compute is the new talent

Increasingly, engineers choose employers based on GPU access. A startup that cannot allocate H100 hours to its researchers will lose them to firms that can. Treat your GPU quota as a retention tool. It sounds absurd, but in Q2 2026 it is the single strongest hiring lever for AI teams in Singapore.

FAQ: Nava, Singapore GPU cloud and hiring

What is Nava and why does its Series A matter?

Nava, formerly Kluisz.ai, is an AI cloud infrastructure startup based in India and Singapore. It raised $22M Series A in April 2026 led by Greenoaks Capital.

What roles is Nava and similar Singapore AI infra firms hiring for?

High-demand roles: GPU infrastructure engineers, Kubernetes specialists for AI workloads, distributed systems engineers, MLOps engineers, CUDA experts, and AI product managers.

What salaries do AI infrastructure engineers earn in Singapore?

Senior AI infrastructure engineers in Singapore earn SGD 14,000 to 22,000 per month in April 2026. Specialists with GPU optimization experience exceed SGD 25,000.

How many AI infrastructure roles are open in Singapore?

Over 1,800 open AI infrastructure roles in Singapore as of April 2026. Time to fill senior roles has stretched to 11-14 weeks.