Tech jobs
Job listings
Computer Scientist
The opportunity Adobe's EPG (Emerging Products Group), also known as the Nextcam team, is seeking Computer Scientists with graduate training or equivalent experience in computer vision, modern AI, or computational…
Senior Computer Vision Engineer
Senior Computer Vision Engineer builds 3D vision and deep-learning models for real-time sports analytics, optimizing AI pipelines for edge devices to help athletes improve performance.
Engineering Manager - Embedded Systems & Computer Vision
Lead a team to build high-performance embedded systems and AI-driven firmware for sports vision hardware, integrating cameras, radars, and real-time computer vision on ARM-based platforms.
AI Platform Engineer (Cloud) - KE
Build and run Absa’s multi-cloud AI platform, deploying and scaling services on AWS Bedrock, Databricks, Azure AI Foundry, Hugging Face, and Kubernetes to power enterprise AI use cases across the bank.
Senior AI Platform Engineer (Cloud) - KE
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten African countries, focusing on FinOps, zero-trust security, and agentic AI infrastructure.
Principal Software Engineer
Leads development of automotive middleware (DDS, SOME/IP, CAN/LIN) and system software for self-driving and cockpit controllers on Linux/QNX/VxWorks.
Advanced Embedded Engr
Develops Linux-based embedded and server applications in C++ and Python, builds video analytics pipelines with GStreamer and AI runtimes, and implements MLOps workflows for model monitoring and retraining.
Staff Engineering Manager
This is an excellent opportunity to join Arm's Partner Enablement group! Applications Engineering is a multifaceted and wide-ranging role that combines deep technical expertise with outstanding interpersonal…
Advanced Embedded Engr
1. Software Engineering Strong experience in Linux application development on both embedded and server platforms Proficiency in modern C++ (14/17/20) Solid Python experience for scripting, tooling, and service…
Advanced Embedded Engr
1. Software Engineering Strong experience in Linux application development on both embedded and server platforms Proficiency in modern C++ (14/17/20) Solid Python experience for scripting, tooling, and service…
AI Research Engineer
Research and optimize deep learning models for edge AI platforms using quantization, model compression, and efficient inference techniques in PyTorch and ONNX Runtime.
AI Engineer
Build and deploy production-grade AI systems for edge environments like offshore platforms, mines, and autonomous vehicles, optimizing models for latency, robustness, and security across disconnected settings.
Desenvolvedor de Software Sênior (ML Engineer)
Senior ML Engineer at SiDi in Manaus to develop and optimize ML models for edge devices (mobile, embedded) using TensorFlow Lite, PyTorch, and MLOps pipelines.
Computer Vision engineer / C++
Builds and deploys real-time computer-vision systems in C++, tuning deep-learning models and integrating them into production pipelines.
Principal Compiler Software Development Engineer - AI/ML
Principal engineer optimizing AI/ML compilers and runtime for AMD GPUs, focusing on MLIR/LLVM transformations and ONNX operators to accelerate training and inference workloads.
Senior AI Engineer
Senior AI Engineer builds and deploys PyTorch-based vision and multimodal models to power photo selection and editing for professional photographers, optimizing for cloud and edge deployment.
AI Engineer — Vision AI & Edge Intelligence
Build and deploy real-time Vision AI and edge-inference systems using PyTorch/TensorFlow, ONNX/TensorRT, and NVIDIA stacks for object detection, video analytics, and multimodal models.
Senior Python Backend разработчик / ML Engineer
Builds and deploys ML services in production: designs FastAPI microservices, packages models in Docker/Helm, optimizes inference on CPU/GPU, and ensures stable ML pipelines for education-focused AI products.
AI Infrastructure Engineer
Build and optimize scalable training and inference infrastructure for reinforcement-learning AI agents, deploying across cloud and edge with a focus on latency, throughput, and cost efficiency.