Remote Hardware engineer Jobs – 64 Open Jobs Today

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Software Developer IV-IN
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Excellent written and verbal communication skills; comfortable writing design documents and presenting technical proposals to engineers and stakeholders.
Senior L3 Systems & Network Engineer (Healthcare Infrastructure & Disaster Recovery)
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Because patient care never stops, we need an infrastructure expert who excels under pressure and possesses deep, hands-on experience in Disaster Recovery (DR),…
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Senior Vision Systems Engineer

Luxoft -
Remote

Apply Now

Job details

Qualifications

TensorFlow
Image processing
Computer Science
PyTorch
Computer vision
Software deployment
English
Master's degree
C++
C
Bachelor's degree
OpenCV
Linux
Unit testing
Electrical Engineering
AI
Debugging
Computer graphics

Full job description

Project description

hands-on technical leader responsible for designing, optimizing, and productizing high-performance computer vision and AI pipelines for consumer devices. This role ensures real-time performance, power efficiency, and production robustness across embedded platforms.

Responsibilities

Design and implement advanced computer vision and image processing pipelines optimized for real-time consumer devices.

Collaborate with ISP, sensor, and tuning teams to optimize image quality for downstream AI and UX performance.

Develop and deploy ML models for visual recognition, enhancement, tracking, or scene understanding.

Optimize ML models for edge deployment (quantization, pruning, distillation, hardware-aware tuning).

Implement performance-critical algorithms in modern C++ for embedded platforms.

Optimize for latency, power consumption, memory footprint, and thermal constraints.

Integrate inference engines (TFLite, TensorRT, ONNX Runtime, etc.) on target SoCs.

Work closely with Android/Linux platform teams to integrate camera and AI pipelines.

Define and track KPIs: FPS, power usage, memory, startup time, and accuracy.

Profile and optimize performance across CPU/GPU/NPU/DSP.

Drive debugging of complex system-level issues in production builds.

Ensure robust unit testing and contribute to automated validation pipelines.

Mentor engineers and review architecture/design proposals.

Support product bring-up and mass production readiness.

Skills

Must have

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.

7-10+ years of experience in computer vision/image processing.

Proven experience shipping at least one consumer product with embedded vision/AI.

Strong C++ expertise (C++14/17/20), including performance optimization.

Strong experience with OpenCV and ML frameworks (PyTorch, TensorFlow, ONNX).

Experience deploying ML models on embedded/edge devices.

Experience with model optimization (quantization, pruning).

Strong understanding of 2D/3D geometry and linear algebra.

Experience working on embedded Linux or Android systems.

Strong debugging and performance profiling skills.

Experience optimizing for power and thermal constraints.

Nice to have

Experience with mobile SoCs (Qualcomm, MediaTek, Exynos, etc.).

Experience with CUDA / OpenCL / Vulkan / OpenGL ES / SIMD.

Experience with camera calibration and ISP interaction.

Experience building for Android Camera HAL or Yocto-based systems.

Experience with AR, computational photography, or video processing.

Experience with multi-camera systems.

Exposure to production validation and manufacturing constraints.

Other

Languages

English: B2 Upper Intermediate

Seniority

Lead

Remote India, India

Req. VR-121111

C/C++

Automotive Industry

11/06/2026

Req. VR-121111

Apply Now

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hardware engineer jobs in remote

Senior Vision Systems Engineer

Senior Technical Lead (US, Remote)

GTM Enablement Lead

Senior Data Engineer (with AI/ML experience) India

Vision Systems Architect

Software Developer IV-IN

(US) Senior Technical Lead - Fullstack (EST Timezone)

Principal Technical Consultant Lead, ServiceNow

Business Development Executive-North/East India

Business Development Executive- South India

Senior L3 Systems & Network Engineer (Healthcare Infrastructure & Disaster Recovery)

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