programming engineer

Servetech Equipment Trading and Technologies LLC

<p><b>Responsibilities</b></p><ul><li>Develop and test PLC and HMI/SCADA programs (Siemens, Beckhoff, Allen Bradley, Schneider etc.).</li><li>Perform FAT, SAT, and on-site commissioning.</li><li>Troubleshoot PLC, I/O, and communication networks.</li><li>Integrate automation systems with field instruments, VFDs, and robots.</li><li>Prepare system documentation and ensure compliance with safety standards.</li></ul><p><b>Requirements</b></p><ul><li>Degree in Electrical, Electronics, Mechatronics, or Automation.</li><li>1&ndash;5 years of hands-on PLC programming experience.</li><li>Knowledge of TIA Portal, Twin CAT, or Studio 5000.</li><li>Familiar with PROFINET, Modbus, or Ether CAT networks.</li><li>Strong problem-solving and debugging skills.</li><li>Willing to travel for project execution.</li></ul><p><b>Preferred</b></p><ul><li>Experience with RTU Scada Works</li><li>Experience in DEWA / DM project is preferable.</li></ul><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>Dubai: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Work Location: In person</p>

PLC Programming Engineer/Automation Engineer

NVIDIA

<div><p>We're looking for outstanding engineers and scientists to apply their parallel programming skills to accelerate open-source software libraries for GPU data processing.
</p><p></p><p>As part of NVIDIA&rsquo;s Analytics and Data Intelligence (ADI) team, you will drive speed-of-light performance in structured data processing, spanning hardware from single workstations to multi-node GPU supercomputers. You will be building the computational core for dataframe and database accelerators&mdash;highly optimized C++ and CUDA libraries that leverage the parallel nature of GPUs to accelerate operations from data loading and parsing to joins, aggregations, and more. Come bring your creativity and problem-solving skills to our open-source software suite, and you can be our next major contributor!</p><p></p><p><b>
What you&rsquo;ll be doing:</b></p><ul><li><p>
Developing novel, parallel algorithms to accelerate core problems in data processing and power the next generation of data center workflows</p></li><li><p>
Implementing solutions in C++ and CUDA</p></li><li><p>
Contributing to open source projects, such as cuDF, Velox, Presto and Spark</p></li><li><p>
Benchmarking, profiling, and optimizing code</p></li><li><p>
Working closely with the world&rsquo;s top experts in GPU hardware, software and workflows</p></li></ul><p></p><p><b>
What we need to see:</b></p><ul><li><p>
5+ years of experience in Computer Science or Software Engineering</p></li><li><p>
MS degree or PhD in computer science, engineering, or a related field (or equivalent experience)</p></li><li><p>
Strong Modern C++ programming skills</p></li><li><p>
Familiarity with at least one parallel programming framework, such as CUDA, OpenACC, OpenMP, etc.</p></li><li><p>
You care deeply about robust, readable, high-performance code</p></li><li><p>
Excited to learn, explore new problem areas, and apply your creativity to some of the most challenging and rewarding problems we have</p></li></ul><p></p><p><b>
Ways to stand out from the crowd:</b></p><ul><li><p>
Familiarity with RAPIDS cuDF</p></li><li><p>
Experience in data science workflow development and debugging</p></li><li><p>
Passion for publishing your work in technical blogs and conferences.</p></li></ul><p></p><p>
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.</p><p></p>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.<p></p><div><div><div><div><div><div><div><p>
You will also be eligible for equity and benefits.</p></div></div></div></div></div></div></div><p></p>
Applications for this job will be accepted at least until April 13, 2026.<p></p><p>
This posting is for an existing vacancy.</p><p>
NVIDIA uses AI tools in its recruiting processes.</p><p></p>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><p></p>

Senior Software Engineer, C++ and CUDA - Analytics and Data Intelligence

Intel Corporation

<div><h1 class="jobSectionHeader"><b>Job Details:
</b></h1><p></p><h2 class="jobSectionHeader"><b>Job Description:
</b></h2><div><b>The Role and Impact
</b><br>
Join Intel's Compiler Engineering team, where you will collaborate on cutting-edge technologies driving the next generation of software innovation. As a Compiler Engineer, you will play a critical role in designing, developing, testing, debugging, and maintaining Intel's industry-leading LLVM-based compiler stack, including C, C++, SYCL, and Fortran compilers. Your contributions will directly impact Intel's processor platforms, enabling developers worldwide to harness CPUs, GPUs, and accelerators to achieve extraordinary breakthroughs in AI, high-performance computing, and beyond. This is your opportunity to work with leaders in the LLVM community and make meaningful contributions to software ecosystems that empower global innovation.
<br>
<br>
<b>Key Responsibilities:
</b><br>
<ul><li>Design and develop advanced compiler features and optimizations tailored to Intel Architectures.
</li><li>Collaborate with hardware engineering teams to support new processor features and architectures through compilers.
</li><li>Contribute to the development and maintenance of Clang, DPC++, SYCL technologies, and associated tools.
</li><li>Write and maintain test cases to cover new functionality, ensuring high code coverage and overall reliability.
</li><li>Work upstream with clang open-source communities, driving industry-wide collaboration for optimal solutions.
</li><li>Ensure robust support for parallelization and vectorization techniques, enhancing the performance of Intel compilers.
</li><li>Engage with external partners, language standards groups, and companies developing compilers to align on best practices and innovative solutions.
</li><li>Investigate and resolve complex software bugs through efficient debugging and problem-solving techniques.
</li></ul></div><p></p><p><b>Professional traits:
</b></p><ul><li>Demonstrated problem-solving, Communication skills and
</li></ul><p>the ability to work independently.
</p><p></p><h2 class="jobSectionHeader"><b>Qualifications:
</b></h2><div><b>Minimum Qualifications:
</b><br>
<ul><li>Bachelor's degree in Computer Science, Applied Mathematics, Informatics, or a related technical discipline.
</li><li>3+ years of experience in C/C++ programming, object-oriented design principles, and data structures.
</li><li>3+ years of LLVM compiler technology experience.
</li><li>2+ years of experience in open-source projects.<br>
</li></ul></div><p><br>
<b>Preferred Qualifications:
</b></p><ul><li>Master&rsquo;s degree in a related field.
</li><li>3+ years of experience developing and maintaining production-grade compilers.
</li><li>Familiarity with clang, LLVM, or MLIR compiler frameworks.
</li><li>Experience in parallel and offload programming models like OpenMP, SYCL, CUDA, or GPU programming.
</li><li>Knowledge of performance analysis, optimization, and debugging techniques.
</li></ul><br>
Seize the opportunity to be part of Intel's mission to create world-changing technology that enriches lives and shapes the future. Apply today and contribute to innovations that matter.<br>
<p></p><h2 class="jobSectionHeader"><b>Job Type:
</b></h2>Experienced Hire
<p></p><h2 class="jobSectionHeader"><b>Shift:
</b></h2>Shift 1 (United States of America)
<p></p><h2 class="jobSectionHeader"><b>Primary Location:
</b></h2>US, California, Santa Clara
<p></p><h2 class="jobSectionHeader"><b>Additional Locations:
</b></h2>US, Massachusetts, Beaver Brook, US, Oregon, Hillsboro, US, Texas, Austin
<p></p><h2 class="jobSectionHeader"><b>Business group:
</b></h2>The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
<p></p><h2 class="jobSectionHeader"><b>Posting Statement:
</b></h2>All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
<h2 class="jobSectionHeader"><b>Position of Trust
</b></h2>N/A
<p></p><h2 class="jobSectionHeader"><b>Benefits
</b></h2><p></p><p>We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .<br>
</p><p></p>Annual Salary Range for jobs which could be performed in the US: $128,880.00-181,940.00 USD<br>
<p></p>The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.<br>
<p></p><p><b>Work Model for this Role
</b></p>This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
<p></p><ul><li></li></ul><p></p>ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.</div>

Compiler Engineer

Catalyst Labs

<div>
 <strong>
  About The Job ML Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Our Client
  <br/>
  <br/>
 </strong>
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
 <br/>
 <br/>
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
 <br/>
 <br/>
 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
 <br/>
 <br/>
 <strong>
  Location
 </strong>
 : New York, NY
 <br/>
 <br/>
 <strong>
  Work type
 </strong>
 : Full Time,
 <br/>
 <br/>
 <strong>
  Compensation
 </strong>
 : above market base + bonus + equity
 <br/>
 <br/>
 <strong>
  Roles &amp; Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
  </li>
  <li>
   Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
  </li>
  <li>
   Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
  </li>
  <li>
   Build agents capable of operating natively on real-world audio inputs.
  </li>
  <li>
   Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
  </li>
  <li>
   Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
  </li>
  <li>
   Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
  </li>
  <li>
   Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  </li>
  <li>
   1-6 years of professional experience in ML engineering.
  </li>
  <li>
   Strong programming skills in Python (TypeScript experience is a plus).
  </li>
  <li>
   Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
  </li>
  <li>
   Familiarity with cloud environments and infrastructure (preferably AWS).
  </li>
  <li>
   Strong understanding of data pipeline design, real-time inference, and model monitoring.
  </li>
  <li>
   Excellent communication skills with the ability to engage directly with customers and stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven experience building and deploying ML models into production environments.
  </li>
  <li>
   Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
  </li>
  <li>
   Experience with audio-focused ML projects or similar domains involving unstructured data.
  </li>
  <li>
   Proficiency in building scalable data pipelines for model training and evaluation.
  </li>
  <li>
   Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
  </li>
  <li>
   Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
  </li>
 </ul>
</div>


ML Engineer

<div><h1 class="jobSectionHeader"><b>Job Details:
</b></h1><p></p><h2 class="jobSectionHeader"><b>Job Description:
</b></h2><p>Join Intel's Silicon Engineering Group as a CPU Design Verification Engineer and play a critical role in shaping the next generation of high-performance, power-efficient processors. As part of the E-core CPU team, you will validate cutting-edge CPU architectures designed for industry-leading performance-per-watt that power everything from laptops and desktops to high-end gaming systems, micro-servers, 5G base stations, and AI/ML workloads.
<br>
<br>
You'll collaborate with world-class CPU architects, RTL designers, and physical design teams to ensure designs meet rigorous functional, performance, and power goals. This is a high-impact opportunity to work on complex microarchitectural features, solve deep technical challenges, and influence products that reach billions of devices worldwide.
<br>
<br>
If you're excited about seeing your ideas, go from whiteboard concepts to real silicon-and want to grow alongside some of the brightest minds in the industry-this is where you belong.
<br>
<br>
<b>Key Responsibilities:
</b></p><ul><li><p>Perform functional verification of CPU logic to ensure alignment with architectural and microarchitectural specifications
</p></li><li><p>Work across pre-silicon, emulation, and post-silicon environments to validate design functionality and debug issues across the product lifecycle
</p></li><li><p>Develop and execute comprehensive verification plans for CPU and IP components
</p></li><li><p>Perform functional coverage analysis, identify verification gaps, and implement strategies to close them
</p></li><li><p>Build scalable verification environments, including UVM-based testbenches and functional coverage models
</p></li><li><p>Define and run system-level simulation models to validate functionality, power, and timing, and uncover bugs
</p></li><li><p>Identify, replicate, debug, root-cause, and resolve design issues and bug escapes in pre-silicon environments
</p></li><li><p>Implement corrective measures to address failing tests and improve design robustness
</p></li><li><p>Collaborate closely with CPU architects, RTL developers, and physical design teams on complex feature verification
</p></li><li><p>Maintain and enhance verification infrastructure, methodologies, and automation flows
</p></li><li><p>Develop scripts and automation tools for testing using Python, Perl, C/C++, or similar languages to optimize verification workflows and improve throughput Leverage AI techniques and innovative approaches to enhance verification processes and improve test coverage, significantly reducing product life cycle and validation timelines
</p></li><li><p>Document test strategies and drive technical reviews with cross-functional stakeholders
</p></li><li><p>Contribute to the definition and refinement of CPU architecture and microarchitecture features
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Qualifications:
</b></h2><p><b>Minimum Qualifications
</b></p><ul><li><p>Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related STEM field with 3+ years of relevant experience, OR Master's degree with 2+ years of experience, OR PhD with 0+ years of experience
</p></li><li><p>Experience in computer architecture fundamentals, with emphasis on CPU microarchitecture
</p></li><li><p>Experience with hardware modeling languages such as Verilog, VHDL, or System Verilog, and industry-standard simulation tools (through coursework, projects, or industry experience)
</p></li><li><p>Experience in debugging and validation, including test development, coverage analysis, and root cause analysis
</p></li><li><p>Experience developing or working with UVM-based or similar verification environments
</p></li><li><p>Programming experience in at least one language such as C/C++, Python, or Perl<br>
</p></li></ul><p><br>
<b>Preferred Qualifications
</b></p><ul><li><p>Master's or PhD in Electrical Engineering, Computer Engineering, Computer Science, or related STEM field, with demonstrated experience in CPU design, verification, or architecture
</p></li><li><p>Knowledge of x86 architecture, Intel Architecture ISA, and assembly programming, with hands-on experience applying it to verification or design tasks
</p></li><li><p>Experience with pre-silicon and post-silicon CPU verification, debugging, and analysis, including identifying and closing coverage gaps
</p></li><li><p>Familiarity with software validation, including microcode, firmware, or low-level code generation, and applying these skills to enhance CPU verification
</p></li><li><p>Experience developing robust and scalable verification environments and testbenches using SystemVerilog UVM/OVM, Specman, C/C++, Python, or similar languages
</p></li><li><p>Advanced use of industry-standard simulation tools (e.g., Synopsys VCS) and version control systems (e.g., Git) to optimize verification workflows
</p></li><li><p>Intel or industry experience in microarchitecture, CPU design, or verification of CPU cores, with technical ownership or leadership in key areas
</p></li><li><p>Experience with advanced CPU microarchitecture concepts, including out-of-order execution
</p></li><li><p>Innovative application of AI or automation to enhance verification processes, improve coverage, and significantly accelerate product validation<br>
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Job Type:
</b></h2>Experienced Hire
<p></p><h2 class="jobSectionHeader"><b>Shift:
</b></h2>Shift 1 (United States of America)
<p></p><h2 class="jobSectionHeader"><b>Primary Location:
</b></h2>US, Texas, Austin
<p></p><h2 class="jobSectionHeader"><b>Additional Locations:
</b></h2><p></p><h2 class="jobSectionHeader"><b>Business group:
</b></h2>Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions that deliver industry-leading products today while also defining the next generation of computing experiences.
<p></p><h2 class="jobSectionHeader"><b>Posting Statement:
</b></h2>All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
<h2 class="jobSectionHeader"><b>Position of Trust
</b></h2>N/A
<p></p><h2 class="jobSectionHeader"><b>Benefits
</b></h2><p></p><p>We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .<br>
</p><p></p>Annual Salary Range for jobs which could be performed in the US: $105,650.00-200,340.00 USD<br>
<p></p>The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.<br>
<p></p><p><b>Work Model for this Role
</b></p>This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
<p></p><ul><li></li></ul><p></p>ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.</div>

CPU Verification Engineer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.<br>
</li>
<li>1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.<br>
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.<br>
</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience developing accessible technologies.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
The Artificial Intelligence Platform Empowering X (APEX) team works to accelerate and ensure the quality of the AI development lifecycle for Android and Pixel.</p><div>
In this role, you will design, build, and enhance the platforms, tools, and processes that deliver reliable, reproducible, and efficient evaluation for on-device AI models. Your contributions will be crucial in ensuring the quality, performance, and safety of AI features experienced by Android and Pixel users.</div><p>
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.</p><p><br>
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write product or system development code.<br>
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.<br>
</li>
<li>Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer, AI/ML, Platforms and Devices

Search 7119+ Programming engineer jobs near you this April. New roles added regularly across leading industries. Apply today.

7119 programming engineer jobs Near Me

PLC Programming Engineer/Automation Engineer

Senior Software Engineer, C++ and CUDA - Analytics and Data Intelligence

Compiler Engineer

ML Engineer

ML Engineer

CPU Verification Engineer

Software Engineer, AI/ML, Platforms and Devices