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HomeCompaniesVidizmoGPU Computer Vision Engineer

GPU Computer Vision Engineer

Vidizmo · Karachi, Sindh, 75250, Pakistan · Active · BambooHR

Job facts

FieldValue
CompanyVidizmo
TitleGPU Computer Vision Engineer
Normalized title-
Department / teamProduct Engineering
LocationKarachi, Sindh
Work model-
Employment typePermanent
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2025-12-12 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Vidizmo.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Karachi.Open
Department jobsActive postings in Product Engineering.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyVidizmo
Sourcead41ac1c-927d-489f-a174-04bf94376198
ATS providerBambooHR

Description

We're seeking passionate, driven, and self-motivated individuals to join our team. If you're eager to grow in a dynamic environment and be part of a company that’s at the forefront of AI innovation, this is your chance to hit the ground running. VIDIZMO is a USA-based technology company headquartered in Tysons, Virginia, and a   Microsoft Solutions Partner   in   Data & AI ,   Infrastructure , and   Digital & App Innovation . Offering a   AI-Powered Intelligence Hub , we empower   Fortune 500 companies ,   large enterprises , governments, and the   public sector   to securely manage, analyze, and govern their data with complete control and compliance. Our   Multimodal AI Data Intelligence Platform   leverages   Large Language Models (LLMs)   and   RAG (Retrieval-Augmented Generation)   to deliver powerful capabilities such as   auto-tagging ,   redaction ,   content summarization ,   OCR ,   translation ,   subtitle creation ,   object detection and tracking ,   content search ,   sentiment and emotion analysis ,   topic extraction ,   document classification , and   facial attribute detection. AI Output Verification & Accountability (Required Competency) The candidate must be capable of effectively using AI tools (e.g., Claude, ChatGPT, Copilot, or similar) to support work outputs such as content, analysis, documentation, or code. However, the candidate must also demonstrate strong judgment and ownership of the final deliverables. AI-generated output must never be treated as final without review. The candidate is expected to validate accuracy, completeness, logic, compliance, and alignment with business requirements, and refine AI-assisted work to meet the expected quality standards. The individual will be held accountable for the final output, regardless of whether AI tools were used during execution. About the Role We are seeking an experienced Computer Vision & Video Analytics Engineer with deep expertise in TensorRT optimization and GPU-accelerated inference . In this role, you will build and optimize real-time intelligent video analytics (IVA) systems by bridging cutting-edge ML models with high-performance production pipelines. You will architect low-latency, GPU-accelerated video solutions using TensorRT, CUDA, NVIDIA DeepStream, and GStreamer , ensuring scalable, production-grade deployment across edge and cloud environments. Responsibilities Architect and optimize real-time video analytics pipelines using NVIDIA DeepStream and GStreamer . Responsibility for reviewing and validating AI-generated outputs Ownership of final deliverables, regardless of AI assistance Ability to critically evaluate AI results and ensure they meet defined requirements Accountability for accuracy, quality, and compliance Lead TensorRT-based model optimization , including precision tuning (FP16/INT8), engine building, and performance benchmarking. Maximize GPU throughput and minimize latency using CUDA kernels , memory optimization, and parallelization techniques. Integrate computer vision models (detection, segmentation, tracking, classification) into high-performance production systems. Develop clean and efficient C/C++ and Python code in Linux-based environments. Troubleshoot, debug, and optimize GPU-accelerated inference pipelines . Collaborate with ML, hardware, and backend engineering teams to refine and deploy end-to-end AI systems. Participate in system design, code reviews, performance tuning, and optimization cycles. Requirements Professional experience in computer vision, GPU acceleration, or high-performance computing. Strong proficiency in C/C++ and Python . Hands-on experience with: TensorRT (model conversion, calibration, engine building, profiling) CUDA programming NVIDIA DeepStream SDK GStreamer pipelines Strong background in CV frameworks: PyTorch, TensorFlow, ONNX, OpenCV . Understanding of core CV tasks: detection, segmentation, classification, tracking, and model optimization. Familiarity with Kafka, MQTT, or microservice-based architectures. Excellent debugging and performance engineering skills in GPU-accelerated environments . Bachelor's or Master’s in Computer Science, Electrical Engineering, or related fields. The ideal candidate demonstrates strong business acumen, translates objectives into impactful solutions, and effectively leverages AI tools for efficiency. Proficiency in Claude (mandatory) and familiarity with tools such as ChatGPT are required. An ownership mindset and the ability to deliver results independently are essential. Successful completion of a Claude-based assessment is required as part of the hiring process. Preferred Qualifications Experience with Docker , containerization, and Kubernetes. Familiarity with NVIDIA Jetson , Orin, or edge AI devices. Experience building custom GStreamer plugins or low-level CUDA kernels. Knowledge of distributed inference or multi-GPU optimization. Essential Skills: The ideal candidate demonstrates strong business acumen, can translate objectives into impactful solutions, and is proficient in leveraging AI tools—including mandatory use of platforms like ChatGPT—to enhance efficiency. An ownership mindset and the ability to drive outcomes with minimal task-level direction are essential. Benefits:  Health Insurance (OPD/IPD), Separate Maternity Cover, Leave encashment, Car Support Program, Referral Bonus, EOBI, Bi-Annual Increment. Provident Fund, Career Growth, Bonus (benefits vary based on location) Multiple Locations:  Pakistan, India, UAE, Australia, Canada & USA

Full job record

Job ID3cde0905344c3d0d2d8de6dc825deda1979542f4
Org ID78bae7bd-b22d-4880-9abf-d16ca50c52ec
Source IDad41ac1c-927d-489f-a174-04bf94376198
Board IDad41ac1c-927d-489f-a174-04bf94376198
Providerbamboohr
Provider Job Key360
TitleGPU Computer Vision Engineer
Normalized Title
Statusactive
Activeyes
Location TextKarachi, Sindh, 75250, Pakistan
DepartmentProduct Engineering
Team
Employment TypePermanent
Workplace Type
Remote Policy
Country
RegionSindh
CityKarachi
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://vidizmo.bamboohr.com/careers/360
Apply URLhttps://vidizmo.bamboohr.com/careers/360
First Seen At2026-05-30 06:01:33Z
Last Seen At2026-06-06 10:31:48Z
Last Checked At2026-06-06 10:31:48Z
Last Changed At2026-05-30 06:01:33Z
Inactive At
Source Posted At2025-12-12 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=vidizmo/date=2026-06-06/2026-06-06T10-31-46-266Z-a860f06737971c6bd3cc90c20f6415cb2f412170d60e7155ae444fe4b0d13df3.json
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    "description": "<p>We're seeking passionate, driven, and self-motivated individuals to join our team. If you're eager to grow in a dynamic environment and be part of a company that’s at the forefront of AI innovation, this is your chance to hit the ground running.</p>\n<p><br></p>\n<p>VIDIZMO is a USA-based technology company headquartered in Tysons, Virginia, and a<span> </span><span style=\"font-weight: bold\">Microsoft Solutions Partner</span><span> </span>in<span> </span><span style=\"font-weight: bold\">Data &amp; AI</span>,<span> </span><span style=\"font-weight: bold\">Infrastructure</span>, and<span> </span><span style=\"font-weight: bold\">Digital &amp; App Innovation</span>. Offering a<span> </span><span style=\"font-weight: bold\">AI-Powered Intelligence Hub</span>, we empower<span> </span><span style=\"font-weight: bold\">Fortune 500 companies</span>,<span> </span><span style=\"font-weight: bold\">large enterprises</span>, governments, and the<span> </span><span style=\"font-weight: bold\">public sector</span><span> </span>to securely manage, analyze, and govern their data with complete control and compliance.</p>\n<p><br></p>\n<p>Our<span> </span><span style=\"font-weight: bold\">Multimodal AI Data Intelligence Platform</span><span> </span>leverages<span> </span><span style=\"font-weight: bold\">Large Language Models (LLMs)</span><span> </span>and<span> </span><span style=\"font-weight: bold\">RAG (Retrieval-Augmented Generation)</span><span> </span>to deliver powerful capabilities such as<span> </span><span style=\"font-weight: bold\">auto-tagging</span>,<span> </span><span style=\"font-weight: bold\">redaction</span>,<span> </span><span style=\"font-weight: bold\">content summarization</span>,<span> </span><span style=\"font-weight: bold\">OCR</span>,<span> </span><span style=\"font-weight: bold\">translation</span>,<span> </span><span style=\"font-weight: bold\">subtitle creation</span>,<span> </span><span style=\"font-weight: bold\">object detection and tracking</span>,<span> </span><span style=\"font-weight: bold\">content search</span>,<span> </span><span style=\"font-weight: bold\">sentiment and emotion analysis</span>,<span> </span><span style=\"font-weight: bold\">topic extraction</span>,<span> </span><span style=\"font-weight: bold\">document classification</span>, and<span> </span><span style=\"font-weight: bold\">facial attribute detection.</span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">AI Output Verification &amp; Accountability (Required Competency)</span></p>\n<p><br></p>\n<p>The candidate must be capable of effectively using AI tools (e.g., Claude, ChatGPT, Copilot, or similar) to support work outputs such as content, analysis, documentation, or code. However, the candidate must also demonstrate strong judgment and ownership of the final deliverables. AI-generated output must never be treated as final without review. The candidate is expected to validate accuracy, completeness, logic, compliance, and alignment with business requirements, and refine AI-assisted work to meet the expected quality standards. The individual will be held accountable for the final output, regardless of whether AI tools were used during execution.</p>\n<p><br></p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">About the Role</span></span></p>\n<p>We are seeking an experienced <span style=\"font-weight: bold\">Computer Vision &amp; Video Analytics Engineer</span> with deep expertise in <span style=\"font-weight: bold\">TensorRT optimization and GPU-accelerated inference</span>. In this role, you will build and optimize <span style=\"font-weight: bold\">real-time intelligent video analytics (IVA)</span> systems by bridging cutting-edge ML models with high-performance production pipelines.</p>\n<p>You will architect <span style=\"font-weight: bold\">low-latency, GPU-accelerated video solutions</span> using <span style=\"font-weight: bold\">TensorRT, CUDA, NVIDIA DeepStream, and GStreamer</span>, ensuring scalable, production-grade deployment across edge and cloud environments.</p>\n<p><br></p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Responsibilities</span></span></p>\n<ul>\n<li>Architect and optimize real-time video analytics pipelines using <span style=\"font-weight: bold\">NVIDIA DeepStream and GStreamer</span>.</li>\n<li><span style=\"font-size: 12pt\"><span>Responsibility for reviewing and validating AI-generated outputs</span></span></li>\n<li><span style=\"font-size: 12pt\"><span>Ownership of final deliverables, regardless of AI assistance</span></span></li>\n<li><span style=\"font-size: 12pt\"><span>Ability to critically evaluate AI results and ensure they meet defined requirements</span></span></li>\n<li><span style=\"font-size: 12pt\"><span>Accountability for accuracy, quality, and compliance</span></span></li>\n<li><span style=\"font-weight: bold\">Lead TensorRT-based model optimization</span>, including precision tuning (FP16/INT8), engine building, and performance benchmarking.</li>\n<li>Maximize GPU throughput and minimize latency using <span style=\"font-weight: bold\">CUDA kernels</span>, memory optimization, and parallelization techniques.</li>\n<li>Integrate computer vision models (detection, segmentation, tracking, classification) into high-performance production systems.</li>\n<li>Develop clean and efficient <span style=\"font-weight: bold\">C/C++ and Python</span> code in Linux-based environments.</li>\n<li>Troubleshoot, debug, and optimize <span style=\"font-weight: bold\">GPU-accelerated inference pipelines</span>.</li>\n<li>Collaborate with ML, hardware, and backend engineering teams to refine and deploy end-to-end AI systems.</li>\n<li>Participate in system design, code reviews, performance tuning, and optimization cycles.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Requirements</span></span></p>\n<ul>\n<li>Professional experience in computer vision, GPU acceleration, or high-performance computing.</li>\n<li>Strong proficiency in <span style=\"font-weight: bold\">C/C++ and Python</span>.</li>\n<li>Hands-on experience with:\n<ul>\n<li><span style=\"font-weight: bold\">TensorRT</span> (model conversion, calibration, engine building, profiling)</li>\n<li><span style=\"font-weight: bold\">CUDA</span> programming</li>\n<li><span style=\"font-weight: bold\">NVIDIA DeepStream SDK</span></li>\n<li><span style=\"font-weight: bold\">GStreamer</span> pipelines</li>\n</ul>\n</li>\n<li>Strong background in CV frameworks: <span style=\"font-weight: bold\">PyTorch, TensorFlow, ONNX, OpenCV</span>.</li>\n<li>Understanding of core CV tasks: detection, segmentation, classification, tracking, and model optimization.</li>\n<li>Familiarity with Kafka, MQTT, or microservice-based architectures.</li>\n<li>Excellent debugging and performance engineering skills in <span style=\"font-weight: bold\">GPU-accelerated environments</span>.</li>\n<li>Bachelor's or Master’s in Computer Science, Electrical Engineering, or related fields.</li>\n<li>The ideal candidate demonstrates strong business acumen, translates objectives into impactful solutions, and effectively leverages AI tools for efficiency. Proficiency in Claude (mandatory) and familiarity with tools such as ChatGPT are required. An ownership mindset and the ability to deliver results independently are essential. Successful completion of a Claude-based assessment is required as part of the hiring process.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Preferred Qualifications</span></span></p>\n<ul>\n<li>Experience with <span style=\"font-weight: bold\">Docker</span>, containerization, and Kubernetes.</li>\n<li>Familiarity with <span style=\"font-weight: bold\">NVIDIA Jetson</span>, Orin, or edge AI devices.</li>\n<li>Experience building <span style=\"font-weight: bold\">custom GStreamer plugins</span> or low-level CUDA kernels.</li>\n<li>Knowledge of distributed inference or multi-GPU optimization.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 14pt; font-weight: bold\">Essential Skills:</span></p>\n<p><span style=\"font-size: 12pt\">The ideal candidate demonstrates strong business acumen, can translate objectives into impactful solutions, and is proficient in leveraging AI tools—including mandatory use of platforms like ChatGPT—to enhance efficiency. 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