computer vision engineer

Magna International

<p></p><div><p><b>Job descriptions may display in multiple languages</b><b> </b><b>based on your language selection.</b></p><p></p><h2 class="jobSectionHeader"><b>
What we offer:</b></h2><div>
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.</div><div></div><h2 class="jobSectionHeader"><b>
Group Summary:</b></h2><div>
Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That&rsquo;s what we&rsquo;re passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.</div><p></p><div><div><div><div><div><div><div><p><b>
Job Responsibilities:</b></p></div></div></div></div></div></div></div><p>
This role is not eligible for visa sponsorship. Candidates must have current and ongoing authorization to work in the United States.</p><p></p><p><b>
JOB SUMMARY</b></p><p>
The Computer Vision Algorithm Engineer role focused on ADAS perception that turns camera video feeds (image frames) into a clear understanding of the vehicle&rsquo;s surroundings. The work spans concept through serial production: design and simulate algorithms, analyze and replay data, build and test classical and deep learning models, and optimize for real-time execution on production ECUs. Core tasks include object detection, segmentation, tracking, and image enhancement while meeting accuracy, latency, memory, and power targets. A strong background in image processing, machine learning, and mathematics/physics is required, with familiarity in vehicle dynamics considered a plus.</p><p><b>
ESSENTIAL JOB FUNCTIONS</b></p><ul><li>
Develop (design, implement, optimize) conventional image processing algorithms for automotive embedded serial production projects.</li><li>
Design, develop/tune, and optimize deep learning models for ADAS computer vision features (e.g., pruning, quantization) and improve computational performance.</li><li>
Plan and execute experiments to assess deep learning model effectiveness, compare architectures, and validate results through rigorous component/bench testing.</li><li>
Strong knowledge of various camera models; lens distortion correction; homograph and projective transformations mathematical techniques</li><li>
Analyze large datasets to extract insights, refine models, and improve overall performance and robustness.</li><li>
Stay current with deep learning advances and incorporate innovative techniques and research findings into projects.</li><li>
Collaborate with multidisciplinary (requirements, embedded, testing) teams to integrate models into existing systems and ensure seamless operation within the product ecosystem.</li><li>
Document development processes, maintain detailed experiment logs, and present findings clearly to stakeholders.</li><li>
Analyze defects and test results; perform root-cause analysis and implement algorithm improvements to achieve KPIs.</li><li>
Independently deliver intermediate-to-advanced ADAS algorithm design, implementation, and testing.</li><li>
Perform other duties in support of business objectives; maintain regular attendance; follow safe work procedures and PPE requirements; report hazards, injuries, and illnesses promptly; comply with Quality Operating System (QOS) and all safety regulations.</li></ul><p><b>
JOB REQUIREMENTS</b></p><p><b><i>
Education/Experience</i></b></p><ul><li>
Master&rsquo;s degree in computer engineering, Software Engineering, Electrical Engineering, Computer Science, or equivalent.</li><li>
Minimum of 3 years of experience in computer vision and image‑processing algorithm development using traditional methods and deep learning, with proven expertise in developing and implementing DNN models.</li><li>
Excellent programming skills with C or C++; familiarity with Python with proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras) is advantageous.</li><li>
Strong grasp of machine learning concepts and neural network architectures (CNNs, RNNs, transformers).</li><li>
Experience in image segmentation, object detection, and image data preparation/enhancement (e.g., normalization, augmentation, filtering, noise reduction, contrast adjustment, image restoration).</li><li>
Experience in optimizing models for performance, including techniques such as quantization and distributed training.</li><li>
Strong problem-solving abilities; capable of working independently and collaboratively; effective at communicating complex concepts to technical and non-technical audiences.</li><li>
Experience with responsibilities listed above in the serial development of automotive electronics is preferred.</li></ul><p></p><p><b><i>
Technical Knowledge</i></b></p><ul><li>
Strong foundations in mathematics and signal/image/video processing; computer vision fundamentals (object detection, tracking, feature extraction) with C/C++.</li><li>
Experience developing AI and Machine Learning Algorithms for embedded devices.</li><li>
Knowledge of automotive product development practices and structured engineering methodologies; development of portable, reusable, modular software for automotive systems.</li><li>
Strong troubleshooting and debugging skills, using structured problem-solving methods (e.g., 8D).</li><li>
Experience with disciplined software development processes (ASPICE or CMMI); configuration management; and project monitoring/control techniques.</li></ul><p></p><p><b><i>
Personal Requirements</i></b></p><ul><li>
Able to work effectively in a global environment</li><li>
Able to represent technical topics internally and externally</li><li>
Demonstrates self‑motivation, tenacity, and determination.</li><li>
Able to work independently with minimal supervision.</li></ul><p></p><ul><li>
Comprehensive knowledge of English (speak &amp; write)</li></ul><p></p><p><b>
PHYSICAL DEMANDS</b></p><p>
Normal amount of sitting and standing, average mobility to move around an office and plant environment, able to conduct normal amount of work on a computer.</p><p><b>
LIMITATIONS AND DISCLAIMER</b></p><p>
The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position. Requirements are representative of minimum levels of knowledge, skills and/or abilities. To perform this job successfully, the employee must possess the abilities or aptitudes to perform each duty proficiently.</p><p>
All job requirements are subject to possible modification to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a direct threat or significant risk to the health and safety of themselves or other employees.</p><p>
This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to follow any other job-related instructions and to perform other job-related duties as requested by their supervisor in compliance with federal and state laws.</p><h2 class="jobSectionHeader"><b>
Awareness, Unity, Empowerment:</b></h2><p>
At Magna, we believe that a diverse workforce is critical to our success. That&rsquo;s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.</p><p></p><p><b>
AI-Assisted Screening Disclosure</b></p><p>
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.</p><p></p><p><b>
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.</b></p><p>
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.</p><div><div><div><div><div><div><div><p><b>
Worker Type:</b></p></div></div></div></div></div></div></div>
Regular / Permanent<div><div><div><div><div><div><div><p><b>
Group:</b></p></div></div></div></div></div></div></div>
Magna Electronics</div>

AI/ML Engineer/Software Programmer

<div>
 <strong>
  <span>
   About xAI
  </span>
 </strong>
 <p>
  <span>
   xAI&rsquo;s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
  </span>
  <span>
   Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.
  </span>
  <span>
   We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company&rsquo;s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important.
  </span>
  <span>
   All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
  </span>
 </p>
 ABOUT THE ROLE:
 <p>
  As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities, while also incorporating audio where it enhances visual content (e.g., synchronized audio for video). Responsibilities span data curation, modeling, training, inference serving, and product integration, covering both pretraining and post-training phases. You will collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences.
 </p>
 RESPONSIBILITIES:
 <ul>
  <li>
   Create and drive engineering agendas to advance multimodal capabilities, with emphasis on image and video generation, editing, understanding, controllable/long-horizon synthesis, agentic planning, RL training, and world simulation (including audio integration for richer video experiences).
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   Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data.&nbsp;
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   Design evaluation frameworks, metrics, benchmarks, evals, and reward models tailored to image/video/audio quality and coherence.
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   Implement efficient algorithms for state-of-the-art model performance, including real-time inference, distillation, and scalable serving for visual content.
  </li>
  <li>
   Develop scalable data collection and processing pipelines for multimodal (primarily image/video-focused) datasets.
  </li>
  <li>
   Collaborate cross-functionally to integrate AI solutions into production and rapidly iterate based on user feedback.
  </li>
 </ul>
 BASIC QUALIFICATIONS:
 <ul>
  <li>
   Track record in leading studies that significantly improve neural network capabilities and performance through better data or modeling.
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   Experience in data-driven experiment designs, systematic analysis, and iterative model debugging.
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   Experience developing or working with large-scale distributed machine learning systems.
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   Ability to deliver optimal end-to-end user experiences.
  </li>
  <li>
   Hands-on contributor with initiative, excellence, strong work ethic, prioritization skills, and excellent communication.
  </li>
 </ul>
 PREFERRED SKILLS AND EXPERIENCE:
 <ul>
  <li>
   Experience in SFT, RL, evals, human/synthetic data collection, or agentic systems.
  </li>
  <li>
   Proficiency in Python, JAX/XLA, PyTorch, Rust/C++, Spark, Ray, and related large-scale frameworks.
  </li>
  <li>
   Domain expertise in multimodal applications such as graphics engines, rendering techniques, image/video understanding and generation, world models, real-time simulation, or controllable/long-horizon visual content creation (audio/speech processing or music/audio generation experience is a plus where it supports video).
  </li>
  <li>
   Experience with agentic RL training, controllable/long-horizon generation, or multimodal agents that reason and act across modalities (especially in visual domains).
  </li>
 </ul>
 COMPENSATION AND BENEFITS:
 <p>
  $180,000 - $440,000 USD
 </p>
 <p>
  Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.
 </p>
 <p>
  <em>
   xAI is an equal opportunity employer. For details on data processing, view our&nbsp;
  </em>
  <em>
   Recruitment Privacy Notice.
  </em>
 </p>
</div>


Member of Technical Staff - Imagine Model

Scale AI

<div>
 Scale&rsquo;s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:
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 <br/>
 <ul>
  <li>
   Creating custom AI applications that will impact millions of citizens
  </li>
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   Generating high-quality training data for national LLMs
  </li>
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   Upskilling and advisory services to spread the impact of AI
   <br/>
   <br/>
  </li>
 </ul>
 Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don&rsquo;t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI.
 <br/>
 <br/>
 Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale.
 <br/>
 <br/>
 <strong>
  The Mission
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy.
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   Systemic Evaluation &amp; Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments.
  </li>
  <li>
   Model Optimisation &amp; Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows.
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  <li>
   Drive Reliability &amp; Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments.
  </li>
  <li>
   Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights.
  </li>
  <li>
   Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments
  </li>
  <li>
   Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty.
  </li>
  <li>
   Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideally, You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable.
  </li>
  <li>
   Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system.
  </li>
  <li>
   Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets.
  </li>
  <li>
   Advanced Degree: A Master&rsquo;s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Haves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability.
  </li>
  <li>
   Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases.
  </li>
  <li>
   Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements.
  </li>
  <li>
   Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   PLEASE NOTE:
  </em>
 </strong>
 <em>
  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
  <br/>
  <br/>
 </em>
 <strong>
  About Us:
  <br/>
  <br/>
 </strong>
 <em>
  At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 </em>
 <em>
  Ernst
 </em>
 <em>
  &amp;
 </em>
 <em>
  Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
  <br/>
  <br/>
 </em>
 <em>
  We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
  <br/>
  <br/>
 </em>
 <em>
  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 </em>
 <em>
  Know Your Rights poster
 </em>
 <em>
  for additional information.
  <br/>
  <br/>
 </em>
 <em>
  We comply with the United States Department of Labor's
 </em>
 <em>
  Pay Transparency provision
 </em>
 <em>
  .
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   PLEASE NOTE:
  </strong>
  We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 </em>
</div>


Machine Learning Engineer, Global Public Sector

Cadence Design Systems

<div><h2 class="jobSectionHeader"><b>At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.</b></h2><p><b>
Job Description</b></p><p><b>
Cadence Design Systems Inc.</b> is looking for a motivated <b>Software Engineer II: AI Compiler Engineer </b>to work with us.</p><p>
As a <b>Software Engineer II: AI Compiler Engineer</b> you will work with complex high performance SoC's, and is one of the best kept secrets within the semi IP world powering AR/VR, HiFi Audio and Speech, Vision, Imaging and hundreds of intelligent IoT applications.</p><p>
Be a part of a team that develops an AI graph compiler that takes as input Neural Networks (NNs) created in frameworks such as PyTorch or TensorFlow and converts them into optimized code suitable for execution on special-purpose and embedded platforms.</p><p>
Cadence is also a Fortune 100 Best Companies to Work For.</p><p></p><p><b>
Job Description:</b></p><ul><li>
Developing a deep learning compiler stack that takes neural network descriptions (CNNs/RNNs) created in frameworks such as Caffe, PyTorch, TensorFlow, etc. and converts them into code suitable for execution on special-purpose and embedded platforms.</li><li>
Use modern compiler frameworks such as LLVM and MLIR.</li><li>
Developing optimized implementations of a variety of neural-network operations and integrating them into a runtime framework</li><li>
Developing new optimization techniques and algorithms to efficiently map CNNs onto a wide range of Xtensa processors and specialized hardware.</li><li>
Benchmarking end-to-end network performance on a variety of DSP and special-purpose accelerator platforms.</li><li>
Enhancing the framework to improve overall functionality and performance on the various hardware platforms.</li><li>
Devising multiprocessor/multicore partitioning and scheduling strategies.</li><li>
Developing complex programs to validate the functionality and performance of the CNN application programming kit.</li><li>
Working with hardware designers to identify opportunities for additional hardware acceleration of neural network functions.</li><li>
Working with industry-leading partners and customers to design and standardize neural network APIs..</li></ul><p></p><p><b>
Requirements:</b></p><ul><li>
Complete Bachelor in Computer Science or Computer Engineering or equivalent experience.</li><li>
A high level of C and C++ programming expertise with 3-5+ years of experience is required.</li><li>
Expertise in software development on Linux and Windows systems including test, debug and release is required.</li><li>
Knowledge of and experience with a state-of-the-art compiler stack such as LLVM and MLIR.</li><li>
Experience implementing compilation techniques such loop optimization, polyhedral models, and IR construction/transition/lowering techniques.</li></ul><p></p><p><b>
Nice to have:</b></p><ul><li>
Master or PhD.</li><li>
3+ years of experience working on a production compiler is highly desired.</li><li>
Python experience highly desired</li><li>
Prior work with CNNs and familiarity with deep learning frameworks (TensorFlow, Caffe/2, etc.) is a strong plus</li><li>
Experience programming and optimizing for embedded platforms such as DSPs with DMA engines highly desired</li><li>
Familiarity with the state-of-the-art deep learning compilation approaches (Glow, TVM, XLA, etc.) is a plus</li><li>
Familiarity with various deep learning networks and their applications (Classification/Segmentation/Object Detection/RNNs) is a plus</li><li>
Knowledge of neural net exchange formats (ONNX, NNEF) is a plus</li></ul><p><b>
Additional Job Details:</b></p><ul><li>
Employment term: 40 hours/week.</li><li>
Hybrid work.</li><li>
Competitive benefits.</li></ul><p></p><p>
Cadence is the only company that provides the expertise and tools, IP, and hardware required for the entire electronics design chain, from chip design to chip packaging to boards and to systems. We enable electronic systems and semiconductor companies to create innovative products that transform the way people live, work, and play. Our products are used in mobile, consumer, cloud datacenter, automotive, aerospace, IoT, industrial and other market segments.</p><p>
For more information, access http://www.cadence.com</p><h2 class="jobSectionHeader"><b>
We&rsquo;re doing work that matters. Help us solve what others can&rsquo;t.</b></h2></div>

Software Engineer II: AI Compiler Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Neuron SDK is the complete software stack for the AWS Inferentia and Trainium machine learning accelerators designed by Annapurna Labs inside AWS. The Neuron SDK consists of a compiler, runtime, frameworks, and tooling customers need. It&rsquo;s also preinstalled in Amazon Deep Learning AMIs and Deep Learning Containers for customers to quickly get started with running high performance and cost-effective inference and training.<br>
<br>
This position is for a Software Engineer for the AWS Neuron SDK team with a deep background in Linux and device drivers. Deep knowledge and experience with hardware-based accelerator platforms and the necessary complexity for the software layers that interact and manage them. Experience implementing high performance software drivers, needed to ensure high throughput from software to hardware, is also a necessity. This engineer will work with the team to define the key interfaces and will develop the runtime stack and driver that manages the accelerator. This engineer will also work in pre-silicon environments (such as emulation) to shift-left Runtime Software Stack readiness and to develop validation content to checkout HW/Silicon features.<br>
<br>
This is a fast-paced, intellectually challenging position, where you&rsquo;ll work with thought-leaders in multiple technology areas. You&rsquo;ll have high standards for yourself and everyone you work with, and you&rsquo;ll be constantly looking for ways to improve our products' performance, quality and cost.<br>
<br>
We&rsquo;re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience in computer architecture</li><li>Experience writing low level drivers</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually</div><p></p>

Runtime/Driver Software Development Engineer, Neuron Runtime

Dr. Ziauddin Hospital

<p><b>Requirements:</b></p><ul><li>04 &ndash; 06 years of experience in network engineering, network administration, or a similar role</li></ul><p><b>Qualification:</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Computer Engineering, or a related field</li></ul><p><b>Job Description:</b></p><ul><li>Provide Level 2/3 support and troubleshooting to resolve network failures and performance issues. And Network Engineer Configuration of STP, RSTP, MST, VLAN and private VLAN.</li><li>The Network Engineer Expertise of Static Routing and Dynamic Routing and Monitoring and configuration Access Layer Network switches, WIFI routers, and Access Points.</li><li>Knowledge of Firewall, firewall Polies, Nat and Security Profile.</li><li>WIFI Controller Monitoring and managing WIFI users and Maintain List of end user Authorization. And prepare detailed network specifications, including diagrams, charts, equipment configurations, or recommended technologies.</li><li>Install proper cable infrastructure with rack harnessing.</li></ul><p>Work Location: In person</p>

Network Engineer

A W Doors

<p><b>Project Coordinator/ Project Engineer - Civil Engineer with Project Management or Site experience - with UAE Driving License</b></p><p>A leading Fire Rated Wood and Steel Door manufacturing company in Sharjah, UAE is hiring Project coordinator professionals. Candidate will require to liaison between firm and clients regarding all aspects of the project.</p><p>Requirements:-<br/>- 3-5 years experience in Project Management/ Site Management<br/>- Strong computer and IT skills - advanced MS-Excel knowledge.<br/>- Good English skills, both written and verbal are essential.<br/>- Positive and Right Attitude<br/>- Problem Solving Skills<br/>- Technically Sound &amp; Time Management skills</p><p>-Valid UAE Driving License</p><p>Please complete the Indeed assessments and Job Application Form (JAF) which you will receive by email after you apply for this job. .</p><p>Job Types: Full-time, Permanent</p><p>Pay: AED3,500.00 - AED5,000.00 per month</p><p>Experience:</p><ul><li>Civil Engineer Qualification: 2 years (Preferred)</li><li>Project coordinator/ Project management: 2 years (Required)</li></ul><p>License/Certification:</p><ul><li>UAE/ GCC Driving License (Required)</li></ul><p>Work Location: In person</p>

Project Coordinator with UAE Driving license (Steel and Wood Door company)

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