科技職缺
職缺列表
Staff Software Engineer, GenAI Gaming
Staff Software Engineer at Google building foundational generative AI models tailored for game development — physics-aware LLMs, diffusion transformer-based 3D mesh generation, and integrations with real-time game engine render loops.
Engenheiro de Software AI-Native (Dominio em Python)
AI-native software engineer at FCamara partnering with MRV (Latin America's largest construction company) to build GenAI solutions in Python, including conversational assistants, autonomous agents, and low-code (Power Platform/n8n) tools that democratize AI use across thousands of employees.
Silicon Validation Engineer AI/ML, Google Cloud
Silicon validation engineer developing functional and performance simulation models for Google's ML IPs (TPUs), integrating them into pre-silicon verification and post-silicon validation flows, and partnering with compiler/software teams in modern C++.
AI Engineer (LLM / RAG)
Design and build applied LLM systems — multi-step agents, hybrid RAG search, and tool-calling pipelines — for clients across multiple industries. Core stack: Python 3.11+ with async/typing/Pydantic, FastAPI, LangGraph/LangChain, OpenAI Agents SDK, Pydantic AI, PostgreSQL, vector DBs, deployed on Azure with Docker/GitLab CI/CD.
Senior Backend Engineer
Senior Backend Engineer at Nebius building hyperscaling cloud services (infrastructure, managed databases, managed Kubernetes, billing, monitoring, ML services) primarily in Golang with some Java and Python.
Senior Backend Engineer
Senior backend engineer building fault-tolerant cloud services on Nebius's hyperscaling AI cloud platform, including managed databases, managed Kubernetes, billing, monitoring, and ML services. Primary work is in Golang with some Java and Python.
Senior Backend Software Engineer (Cloud Monetization Platform)
Senior backend engineer on Nebius's Cloud Monetization Platform, building the distributed billing and pricing systems that turn GPU hours, storage, network, and contract usage into revenue on a 25+ microservice Python stack (gRPC, Temporal, YDB, Kafka, Kubernetes).
Senior Software Engineer (Serverless)
Senior engineer designing and building core components of Nebius Serverless AI — control plane, scheduler, runtime, autoscaler, and customer APIs — owning GPU-native inference at scale using Go and Kubernetes.
Senior DevOps Engineer
Senior DevOps Engineer at a research-driven AI company building infrastructure for next-generation AI systems. Day-to-day work involves software development with Python or Golang and Kubernetes operations to support AI deployment at scale, as a contract engagement through Lemon.io.
Hardware - Senior SoC Design Engineer
Senior SoC Design Engineer at FuriosaAI designing AI inference chips. Owns SoC architecture decisions, micro-architecture and RTL design, subsystem integration, timing closure, and collaborates with verification, PnR, and silicon bring-up teams.
Hardware - Thermal Engineer
Design end-to-end thermal solutions for FuriosaAI's NPU/ASIC AI accelerator hardware across package, PCB, card (PCIe/OAM/SXM), and server-chassis levels — running CFD simulations (FloTHERM, Icepak) and validating via wind tunnel and thermocouple/IR-camera testing.
Systems Software Engineer, Power, Performance, and Thermal (PPT)
Develops core Linux system software—drivers, DVFS policies, and thermal management—to optimize power, performance, and thermals on FuriosaAI's NPU SoC accelerators, working at the intersection of hardware architecture and low-level systems code.
Systems Software Engineer, SoC Firmware
FuriosaAI is hiring a systems engineer to develop ROM code, bootloaders, and trusted firmware for their AI inference SoCs, including ARM TF-A/TF-M porting and secure boot implementation. Day-to-day work centers on C/C++ embedded firmware, low-level ARM architecture, silicon bring-up, and hardware debugging.
Solutions Architect - US
Solutions Architect at FuriosaAI driving technical enablement for US customers deploying AI/LLM workloads on the company's RNGD NPU and Furiosa SDK. Day-to-day work spans POCs, benchmarking, live debugging, pre-sales support, and customer training, with hands-on use of vLLM, Triton, TensorRT-LLM, LangChain, and PyTorch.