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Lead Edge AI & Computer Vision Engineer

E-Solutions
San Jose, CA, United States
15 days ago
Apply on www.dice.com
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Role details

Contract type
Temporary to permanent
Employment type
Part-time / full-time
Experience level
Expert
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

C++ (Programming Language) Nvidia CUDA TensorRT

Job description

  • calibration/homography/distortion
  • zero-copy/DMA
  • lock-free queues
  • Nsight Systems/NVTX
  • UDP/PLC integration
  • Sub-10 ms latency

Regards,

Arun Singh

Requirements

  • Jetson Orin NX / AGX Orin
  • TensorRT FP16/INT8
  • CUDA/C++17

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:50 min

Overview of the Edge AI ecosystem and tech stack

Maxim Salnikov Maxim Salnikov · World Congress 2025

2:43 min

Origins and early goals of the C++ language

Bjarne Stroustrup · World Congress 2022

4:52 min

Essential phases in building and refining language models

Anshul Jindal Anshul Jindal +1 · World Congress 2025

6:21 min

Previewing upcoming hardware acceleration capabilities for Python environments

Chris Heilmann +2 · LIVE

1:55 min

Exporting framework independent representations for edge processing platforms

Nico Schmidt · LIVE

3:30 min

Transitioning from CUDA software architect to user

Stephen Jones · Coffee With Developers

Videos

See all
Coffee with Developers - Stephen Jones - NVIDIA thumbnail
37:32
Coffee With Developers • over 1 year ago

Coffee with Developers - Stephen Jones - NVIDIA

Stephen Jones

Trends, Challenges and Best Practices for AI at the Edge thumbnail
29:50
World Congress 2023 • about 3 years ago

Trends, Challenges and Best Practices for AI at the Edge

Ekaterina Sirazitdinova

Modern C#: A Dive into the Community's Most Loved new Features. thumbnail
27:04
World Congress 2023 • almost 3 years ago

Modern C#: A Dive into the Community's Most Loved new Features.

Louëlla Creemers

Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated thumbnail
30:40
World Congress 2026 Europe • about 2 months ago

Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated

Christin Pohl

RTX AI PC: Developing local and edge AI applications thumbnail
26:06
World Congress 2026 Europe • about 2 months ago

RTX AI PC: Developing local and edge AI applications

Joerg Krall

From Perception to Autonomy: Building Agentic Edge AI Robots with ROS 2 thumbnail
25:50
World Congress 2026 Europe • about 2 months ago

From Perception to Autonomy: Building Agentic Edge AI Robots with ROS 2

Moe Sani

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