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Open nowPosted 15 days ago

C++ Engineer (Computer Vision)

Awiros3 open roles

Where
Gurugram
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Your applicationOpen nowC++ Engineer (Computer Vision)Awiros · Gurugram

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This job: posted 15 days ago

The posting

Location: Gurugram | Work Mode: Work From Office

Make Computer Vision run faster, smarter, and at scale.

Awiros is a Series A-funded deep-tech company (~$7M raised) building the world’s first app-based Operating System for Computer Vision.

Founded in 2015, our platform enables developers and enterprises to build, deploy, and scale AI-powered video applications across edge and cloud environments.

We work at the intersection of Computer Vision, Deep Learning, C++, GPU computing, and distributed systems, building technology that processes real-time video and high-throughput workloads in real-world deployments.

At Awiros, Computer Vision isn’t just about building a model that works. It’s about making that intelligence fast, efficient, reliable, and production-ready.

THE ROLE:

We’re looking for a C++ Computer Vision Engineer to build and optimize the systems that bring Computer Vision algorithms into production.

You’ll work at the intersection of Computer Vision algorithms and high-performance software engineering - implementing vision pipelines, integrating AI models, optimizing inference, and building efficient components for real-time video analytics.

You’ll work closely with our Computer Vision, AI, Platform, and Systems teams to take solutions from algorithm to deployment, with a strong focus on performance, reliability, and real-world constraints.

WHAT YOU'LL WORK ON:

  • Design and develop high-performance Computer Vision components and video processing pipelines in C++.
  • Implement and optimize algorithms for object detection, tracking, recognition, segmentation, image processing, and other video analytics use cases.
  • Integrate Deep Learning models into production inference pipelines.
  • Optimize AI/CV workloads for latency, throughput, memory utilization, and compute efficiency.
  • Work with GPU-accelerated inference and frameworks such as TensorRT, CUDA, or similar technologies.
  • Profile applications, identify bottlenecks, and improve system-level performance.
  • Work with model artifacts such as ONNX and integrate them into C++ inference pipelines.
  • Build robust solutions for real-time video processing and large-scale deployments.
  • Debug issues across the algorithm, application, inference, and hardware layers.
  • Collaborate with Computer Vision and Platform engineers to integrate CV components into the broader Awiros ecosystem.
  • Take ownership of features from implementation → optimization → integration → deployment.

WHAT YOU BRING:

Must Have

  • Strong programming skills in C++.
  • Strong understanding of Data Structures, Algorithms, and Object-Oriented Programming.
  • Solid understanding of Computer Vision fundamentals.
  • Hands-on experience with OpenCV or similar Computer Vision libraries.
  • Understanding of image and video processing concepts such as image transformations, filtering, feature extraction, detection, tracking, and segmentation.
  • Strong debugging and problem-solving skills.
  • Experience developing production-quality software, not just academic implementations.

Good to Have

  • Experience with CUDA and GPU programming.
  • Experience with TensorRT, ONNX Runtime, OpenVINO, or similar inference frameworks.
  • Experience working with ONNX model integration and optimization.
  • Understanding of Deep Learning models and inference pipelines.
  • Experience with multi-threading, concurrency, or parallel programming in C++.
  • Exposure to Linux-based development and performance profiling.
  • Familiarity with technologies such as Docker, Kubernetes, Kafka, or distributed systems.
  • Experience working with real-time video or edge computing.

WHY AWIROS?

Work on Computer Vision in the real world

  • Build software that processes real-time video on real deployments, where latency, reliability, and performance matter.

Go deep into C++ and systems

  • Work across C++, GPU computing, inference optimization, video processing, and distributed systems.

Solve performance-critical problems

  • Work on challenges involving high-throughput video, constrained compute, inference latency, and large-scale deployments.

Own the complete journey

  • See your work move from algorithm → implementation → optimization → integration → production.

Build the infrastructure behind AI

  • Your work will help turn Computer Vision models and algorithms into reliable, scalable video intelligence applications.

If you enjoy writing high-performance C++ and want to solve the engineering challenges behind real-time Computer Vision, we’d like to hear from you.

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