
11 - 50 employees
Founded 2022
🤖 Artificial Intelligence
🔧 Hardware
🤝 B2B
💰 $100M Series B - EnCharge AI on 2025-02
Artificial Intelligence • Hardware • B2B
EnCharge AI is a company that develops analog in-memory computing hardware and complementary software to accelerate on-device and edge-to-cloud AI workloads. Their technology includes the EN100 analog AI accelerator and other form factors (chiplets, ASICs, PCIe cards) designed to deliver much higher energy efficiency, compute density, and lower total cost of ownership for inference compared with conventional GPUs and digital accelerators. EnCharge emphasizes sustainability, data privacy through local processing, and deployment for enterprise and developer customers seeking efficient, scalable AI computation outside traditional cloud infrastructure.
🕒 March 18
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11 - 50 employees
Founded 2022
🤖 Artificial Intelligence
🔧 Hardware
🤝 B2B
💰 $100M Series B - EnCharge AI on 2025-02
Artificial Intelligence • Hardware • B2B
EnCharge AI is a company that develops analog in-memory computing hardware and complementary software to accelerate on-device and edge-to-cloud AI workloads. Their technology includes the EN100 analog AI accelerator and other form factors (chiplets, ASICs, PCIe cards) designed to deliver much higher energy efficiency, compute density, and lower total cost of ownership for inference compared with conventional GPUs and digital accelerators. EnCharge emphasizes sustainability, data privacy through local processing, and deployment for enterprise and developer customers seeking efficient, scalable AI computation outside traditional cloud infrastructure.
• Design and build scalable serving infrastructure for video generation models. • Build robust APIs and SDKs that enable customers and partners to integrate video generation into their products. • Develop compelling demo applications that showcase the platform's capabilities. • Build agentic systems that leverage video generation as a core capability. • Establish monitoring, observability, and deployment practices for video generation workloads.
• 5+ years of software engineering experience, with a focus on backend systems or ML infrastructure • Strong fundamentals in Python and at least one systems language (Go, Rust, C++) • Experience building and operating production APIs and serving systems • Familiarity with ML inference pipelines (model serving, GPU workloads, batching strategies) • Comfort working in fast-moving, ambiguous environments where you define the roadmap • Strong product instincts—you think about how software will be used, not just how it works.
• Flexible work arrangements • Professional development opportunities
Apply Now🕒 March 18
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