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Real-time data on which tech companies are actively growing headcount. AI and defense tech are hiring aggressively while legacy SaaS runs lean.
| Sector | Hiring Trend | Hottest Roles | Outlook |
|---|---|---|---|
| AI / ML Infrastructure | ↑ Aggressively hiring | ML engineers, AI researchers, infra | Strong through 2026 |
| Defense Tech | ↑ Growing fast | Software engineers, drone tech, RF | Multi-year buildout |
| Data Centers / Cloud | ↑ Expanding | Network engineers, SREs, hardware | Driven by AI capex |
| Cybersecurity | ↑ Steady growth | Security engineers, analysts, GRC | Resilient demand |
| Enterprise SaaS | → Flat / selective | Sales, CS, product | Cautious amid AI disruption |
| Consumer Tech | ↓ Cutting | — (cutting across the board) | Restructuring continues |
| Crypto / Web3 | ↓ Still contracting | — (selective only) | Subdued until next cycle |
| Media / Streaming | ↓ Downsizing | — (content, ops cuts) | AI replacing roles |
| Company | Open Roles (est.) | Focus Areas | Why |
|---|---|---|---|
| NVIDIA | 1,500+ | AI research, CUDA, hardware | AI GPU demand at all-time high |
| xAI (Elon Musk) | 500+ | ML, infra, Grok development | Rapid model iteration |
| Anthropic | 300+ | Safety, ML, product | Claude scaling, enterprise push |
| OpenAI | 400+ | Research, GPT-5, infra | Product expansion across verticals |
| Scale AI | 200+ | Data ops, ML, gov | Defense + enterprise contracts |
| Palantir | 300+ | AI platform, gov, commercial | AIP momentum, DoD contracts |
| Anduril | 500+ | Software, hardware, autonomy | Defense tech surge |
The hottest role in tech. Demand far outstrips supply. Senior ML engineers at top AI labs command $400K–$700K+ total comp. Even mid-level ML engineers are seeing 30–50% salary premiums vs. 2022.
Niche but exploding. Anthropic, OpenAI, Google DeepMind, and now Meta are building safety teams. PhDs in ML/AI safety with publication history can command $300K–$500K TC at top labs.
Product managers who can work closely with ML teams and define model use cases are in high demand. Companies are paying a 20–40% premium over traditional PM roles for AI product experience.
Training pipelines, data flywheels, feature stores, and ML ops are critical bottlenecks. Engineers who can build and scale data infrastructure for model training are getting competitive offers at every stage.
AI attack surfaces, nation-state threats, and enterprise compliance mandates are driving persistent demand. CISA and DoD initiatives have further boosted public-sector demand. Salary floors have risen 20%+ since 2022.
Anduril, Palantir, Shield AI, and dozens of startups are hiring aggressively. Software engineers comfortable with government contracts, security clearances, and embedded systems are seeing 15–25% premiums vs. consumer tech.
Tech hiring is bifurcated in 2025, not uniformly recovering. AI infrastructure, defense tech, and cybersecurity are actively hiring and competing for talent. Legacy enterprise SaaS, consumer apps, and crypto are still running lean or cutting. Overall tech employment is growing modestly, but the mix has shifted significantly — ML/AI roles now represent a much larger share of new hires than in 2021.
AI-native companies dominate 2025 hiring: NVIDIA, OpenAI, Anthropic, xAI, and Scale AI are among the most active recruiters. In defense tech, Anduril, Palantir, and Shield AI are growing rapidly. Hyperscalers (AWS, Azure, Google Cloud) continue steady hiring for data center and infrastructure roles driven by AI capital expenditure programs.
The most in-demand tech roles in 2025 are ML/AI engineers, AI safety researchers, data infrastructure engineers, AI product managers, and cybersecurity engineers. These roles command significant premiums — senior ML engineers at top AI labs earn $400K–$700K+ in total comp. Roles in traditional software development, QA, and data entry are facing AI displacement.
The 2025 tech job market is structurally different from 2021. Total tech employment is slightly above 2021 levels, but the composition has shifted dramatically. AI-related roles that barely existed in 2021 now represent hundreds of thousands of positions. Conversely, roles that were abundant in 2021 — SaaS sales, consumer product, content operations — have contracted significantly. Salaries at the top have increased; median salaries in legacy roles have stagnated.