optimization engineer

ByteDance

Location: 
Seattle
 
Team: 
Technology
 
Employment Type: 
Regular
 
Job Code: 
A183675
 
Responsibilities
 
About the team
 The Vision-Applied Research team focuses on applied research in Generative AI and CV/Multimodal Understanding, and delivering intelligent solutions to ByteDance products, e.g., TikTok, CapCut, and Lemon8, enabling users to make and share creative content in a much easier way. The team has research groups dedicated to generative models for content creation, image generation, video synthesis, intelligent image/video editing, and virtual humans.
 
We are seeking an experienced Multimodal Model Training and Inference Optimization Engineer with expertise in optimizing AI model training and inference, including distributed training/inference and acceleration. The ideal candidate will work at the cutting edge of AI efficiency, enhancing the performance, scalability, and deployment of large-scale generative AI models.
 
Responsibilities
 <ul>
<li>Optimize large model training pipelines to improve efficiency, speed, and scalability.</li>
<li>Develop and improve distributed training strategies such as data parallelism, model parallelism, pipeline parallelism and communication to accelerate model training.</li>
<li>Benchmark and profile deep learning models to identify performance bottlenecks and optimize computational resources.</li>
</ul>
Qualifications
 
Minimum Qualifications: 
<ul>
<li>M.S or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field.</li>
<li>Experience in AI model training optimization.</li>
<li>Strong software engineering skills, including proficiency in Python, C++, and CUDA.</li>
<li>Strong proficiency in deep learning frameworks such as PyTorch, Megatron and Deepspeed.</li>
<li>Experience with distributed training techniques such as data parallelism, model parallelism, and pipeline parallelism.</li>
<li>Knowledge of transformers and diffusion models.</li>
</ul>
Preferred Qualifications: 
<ul>
<li>Candidates with publications at conferences such as MLSys, NeurIPS, ICLR, or ICML are preferred</li>
<li>Strong communication and teamwork skills.</li>
<li>Self-motivated and strong problem-solving skills.</li>
<li>Ability to work collaboratively in multi-functional teams.</li>
<li>Experienced in implementing and optimizing complex and performance-critical systems.</li>
</ul>
Job Information
 
【For Pay Transparency】Compensation Description (Annually)
 
The base salary range for this position in the selected city is $177688 - $341734 annually.
 
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
 
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
 
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
 
For Los Angeles County (unincorporated) Candidates: 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
 
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
 
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
 
3. Exercising sound judgment.
 
About Us
 
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
 
Why Join ByteDance
 
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
 
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 
Diversity & Inclusion
 
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
 
Reasonable Accommodation
 
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request

Multimodal Model Training and Inference Optimization Engineer

Acceler8 Talent

<div>
 
 🚨
 
 Hiring: Machine Learning Engineer (Optimization / Decision Systems)
 
 
 
 📍 San Francisco (Onsite)
 
 
 💰 Up to $250K + Equity (Dependent on experience)
 
 
 
 
 
 Most companies still manage digital advertising like it&rsquo;s 2015. Manually adjusting budgets, guessing which campaigns work, and relying on black-box metrics from ad platforms.
 
 
 We&rsquo;re working with a venture-backed startup building something very different:
 
 
 An AI-driven optimization engine that autonomously allocates advertising spend using the same quantitative rigor used in high-frequency trading and financial markets.
 
 
 Instead of humans manually managing campaigns, their system continuously decides:
 
 
 &bull; Where budget should go
 
 
 &bull; When bids should change
 
 
 &bull; Which creative is losing performance
 
 
 &bull; How to maximize return across platforms
 
 
 
 
 
 
 What You&rsquo;ll Work On:
 
 
 
 🧠 Build models for LTV prediction and budget optimization
 
 
 ⚙️ Design risk-aware algorithms that control how millions in ad spend is deployed
 
 
 🔌 Build real-time integrations with platforms like Meta, Google &amp; TikTok
 
 
 📊 Develop simulation &amp; backtesting systems before strategies go live
 
 
 🚀 Take models from research &rarr; production &rarr; monitoring
 
 
 
 
 
 
 Ideal Background:
 
 
 
 ✔️ 4+ years in Machine Learning or Applied ML Engineering
 
 
 ✔️ Strong foundation in statistics, probability, and optimization
 
 
 ✔️ Experience deploying ML models in production systems
 
 
 ✔️ Builders who care about real-world impact, not just research
 
 
 
 
 
 ⭐ Bonus if you&rsquo;ve worked in quant finance, algorithmic trading, or adtech
 
 
 
 
 
 
 Why This Role Is Interesting:
 
 
 
 &bull; You&rsquo;ll build systems that control real-world financial decisions
 
 
 &bull; Early engineer helping shape the core architecture
 
 
 &bull; Opportunity to work on a $1T+ global market
 
 
 &bull; Meaningful equity at an early stage
 
 
 
 
 
 If you're interested or know someone who might be, DM me or apply below 👇👇
 
</div>

Machine Learning Engineer

Apple

Great performance is critical to Apple's product experience, but exceptional performance begins with the decisions we make today about the products of tomorrow. The Performance Modeling and Features team within CoreOS Performance serves as performance optimizers and strategic advisors across Apple's software and hardware organizations, using performance analysis, data-driven insights, and predictive modeling to improve performance, as well as shape architecture decisions, hardware specifications, and product planning. The team is seeking an engineer who can operate at a unique intersection: using performance expertise, data science, and strategic planning to not just measure and optimize performance, but model it, predict it, and use those insights to shape decisions. If this excites you, we should talk. 
 
Description 
 
In this role, you'll serve as a performance optimizer and advisor, working with everyone from feature teams architecting new capabilities to hardware teams planning next-generation devices. Blending statistical analysis with software engineering, you'll analyze large-scale multivariate time-series data, design experiments, and build models, metrics, and simulations that translate complex performance questions into clear recommendations and drive the resulting performance improvements. You'll write code for analysis pipelines, simulation tools, and automation that enable teams to make informed decisions based on quantitative insights. 
 
&quot;,&quot;responsibilities&quot;:&quot; 
 
Consult with feature teams on software architecture decisions from a performance perspective 
 
Analyze telemetry data and design experiments to inform performance optimization and hardware lifecycle decisions 
 
Build models and simulations to forecast performance requirements for future products 
 
Develop metrics, tools, and analysis pipelines to extract insights from large-scale datasets 
 
Collaborate across software, hardware, and silicon teams to translate performance analysis into strategic guidance 
 
Write robust, maintainable code for models, simulations, and automation 
 
Drive performance improvements from insight to implementation, ensuring analytical findings translate into measurable gains in customer experience 
 
Preferred Qualifications 
 
M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or related quantitative field 
 
Experience with performance modeling, capacity planning, or computer architecture evaluation 
 
Knowledge of modern CPU and memory architectures, and hardware/software interactions 
 
Experience with performance analysis tools and methodologies (e.g., profiling, tracing, instrumentation) 
 
Proficiency with distributed compute and storage technologies for large-scale data analysis (e.g., Spark, SQL-based analytics platforms) 
 
Experience driving cross-functional projects and influencing decisions across diverse stakeholder groups 
 
Track record of connecting quantitative insights to strategic product or business decisions 
 
Prior experience in Unix, Linux, macOS, or iOS development or performance optimization 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related quantitative field, or equivalent professional experience 
 
Strong foundation in statistical analysis, experimental design, and quantitative problem-solving 
 
Proficiency in programming languages for data analysis, modeling, and systems development (e.g., Python, R, SQL, C/C++, Objective-C, Swift) 
 
Working knowledge of operating system fundamentals (e.g., memory management, scheduling, file systems, storage) 
 
Demonstrated ability to transform raw data into actionable insights through analysis, modeling, and visualization 
 
Excellent problem-solving and critical-thinking skills 
 
Strong written and verbal communication skills, with ability to explain technical concepts to diverse audiences 
 
Proven ability to collaborate effectively across teams and build relationships with diverse stakeholders 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $126,800 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

OS Performance Engineer (Modeling)

<div>Overview:
<div>
WHAT YOU DO AT AMD CHANGES EVERYTHING</div><div>
At AMD, our mission is to build great products that accelerate next-generation computing experiences&mdash;from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you&rsquo;ll discover the real differentiator is our culture. We push the limits of innovation to solve the world&rsquo;s most important challenges&mdash;striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.</div>
Responsibilities:
<div>
Senior Member of Technical Staff &ndash; Algorithm &amp; Performance Optimization - GPU Libraries</div><div> 
 
THE ROLE &ndash; SMTS Algorithms &amp; Performance Engineer</div><div>
As Senior Member of Technical Staff in the GPU Libraries group, you will provide technical leadership and strategic support across the AMD Radeon Open Ecosystem (ROCm) ecosystem. This role is focused on critically analyzing, reviewing, and improving GPU kernel algorithms within the Composable Kernel (CK) and MIOpen libraries, with a strong emphasis on performance tuning through both explainable heuristics and empirical benchmarking. Working collaboratively with library owners, kernel developers, and cross-functional performance engineering teams, you will drive kernel optimization strategies that translate directly into measurable gains for AI/ML and HPC workloads on AMD Instinct accelerators and Radeon GPUs. This position requires deep understanding and the ability to reason about performance from first principles while also leveraging data-driven analytics to guide tuning decisions.</div><div></div><div> 
THE PERSON &ndash; GPU ML Libraries &amp; Algorithms Expert</div><div>
To be successful in this role, you will be an experienced GPU performance engineer with a proven track record of analyzing, profiling, and optimizing compute kernels &mdash; moving fluidly between algorithmic design analysis, heuristic development, and kernel instance tuning. You are driven by curiosity about why a kernel performs the way it does, and you bring an intuitive sense for GPU execution dynamics that allows you to formulate and validate performance hypotheses rapidly. You thrive in environments where rigorous analysis meets pragmatic engineering, where you can design explainable heuristic models and run analysis on large-scale benchmark sweeps, synthesizing results into actionable tuning recommendations that uplift entire library ecosystems.</div><div></div><div> 
KEY RESPONSIBILITIES:</div><ul><li>
Algorithm Analysis &amp; Improvement: Critically review and improve kernel algorithms, identifying opportunities for redesign, fusion, and optimization that yield measurable performance gains across AMD GPU architectures.</li><li>
Design explainable heuristic models for kernel selection, tile-size determination, data layout choices, and workload-to-CU mapping &mdash; ensuring tuning decisions are interpretable, maintainable, and adaptable.</li><li>
Partner with teams to execute large-scale kernel benchmarking campaigns, building data pipelines and analytics workflows to process, visualize, and extract actionable insights from extensive performance datasets.</li><li>
Partner with teams to perform deep-dive performance investigations using AMD profiling and tracing tools (rocProf, Omniperf, Omnitrace), correlating hardware counter data with kernel behavior to identify bottlenecks in compute, memory bandwidth, LDS utilization, Matrix Core throughput, and instruction issue rates.</li><li>
Initiate, influence, and drive architecture, design, and documentation efforts as they arise across teams. Work closely with principal engineering staff to plan and execute technical governance activities across integrated libraries and engineering teams.</li><li>
Leverage AI-assisted software development tools to accelerate design, implementation, review, and documentation of complex software libraries. Establish best practices for responsible use of AI assistance, including validation, review, and traceability of generated code and technical artifacts.</li></ul><div></div><div> 
PREFERRED EXPERIENCE:</div><ul><li>
Extensive and broad hands-on experience with C++, with relevant applied experience using CUDA, HIP, OpenMP, MPI, or OpenCL for accelerated computing on CPUs and GPUs. Familiarity with other programming languages e.g. Python, Rust. Knowledge or applied experience with popular AI/ML Frameworks (PyTorch, TensorFlow, JAX).</li><li>
Proven experience with kernel performance tuning &mdash; both through principled heuristic design and through systematic empirical benchmarking. Ability to articulate why a tuning configuration works, not just that it does. Ability to reason about performance at the hardware level and translate architectural insight into kernel optimization strategies.</li><li>
Familiarity with Composable Kernel (CK), MIOpen, or equivalent GPU kernel libraries (e.g., CUTLASS, cuDNN, NeuronSDK). Understanding of GEMM, convolution, attention, pooling and other core compute primitives used in AI/ML workloads.</li><li>
Applied experience using AI-assisted coding tools in professional software engineering workflows, including code generation, refactoring, test creation, documentation, and design exploration.</li></ul><div> 
 
ACADEMIC CREDENTIALS:</div><ul><li>
Advanced degrees, such as M.Sc./M.Eng. or Ph.D. are preferred &mdash; ideally in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related field with focus on high-performance computing, GPU architecture, or numerical methods.</li></ul><div></div><div> 
LOCATION:</div><div>
California, USA or remote</div><div></div><div> 
#LI-DR1</div>
Qualifications:
<div>
Benefits offered are described: AMD benefits at a glance.</div><div></div><div> 
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants&rsquo; needs under the respective laws throughout all stages of the recruitment and selection process.</div><div></div><div> 
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD&rsquo;s &ldquo;Responsible AI Policy&rdquo; is available here.</div><div></div><div> 
This posting is for an existing vacancy.</div></div>

Senior Member of Technical Staff – Algorithm & Performance Optimization - GPU Libraries

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon Redshift is the world&rsquo;s most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers. We are always looking for the innovative engineers to help shape the future of Redshift. 
 
We are actively hiring talented software engineers in the query optimization team of Redshift. The parallel-aware query optimizer of Redshift is at the heart of Redshift data plane and is responsible for finding optimal execution plans for tactical and complex queries running on the Redshift&rsquo;s MPP engine. 
 
This is a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology powering analytical workloads for Fortune 500 companies, startups, and everything in between. You will bring deep technical, algorithmic and coding expertise with the ability to work within a fast moving and collaborative environment in the industry leading cloud company to deliver a broad business impact. 
 
Key job responsibilities 
As a Software Development Engineer in Redshift, you will build systems that benefit Redshift clusters across the world. You will take significant ownership on the overall product vision by defining new features and architecture. You will distill complex and ambiguous requirements, converting them into meaningful projects that provide immense customer value. You will own and code end-to-end deliverables from design, development, deployment, monitoring, and operations. And you will lead engineers on substantial projects and help develop a flourishing team through active mentoring and hiring. 
 
About the team 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS? Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
 
 
Inclusive Team Culture Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
 
 
Mentorship &amp; Career Growth We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</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>Master's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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. 
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. 
USA, CA, East Palo Alto - 165,200.00 - 223,600.00 USD annually</div>

Software Development Engineer, Amazon Redshift Query Optimizer

Wood

<div>
 
 Job Description
 
 
 
 
 Remarkable people, trusted by clients to design and advance the world
 
 
 
 Wood is recruiting for a Senior Engineer Process Control to join our team in Oman.
 
 
 Position is based in Sohar, Oman
 
 
 
 Responsibilities
 
 
 
 
 Designing the future. Transforming the world
 
 
 
 The Senior Process Control Engineer role is responsible for the full lifecycle of process control initiatives, from identification and implementation to performance monitoring and continuous improvement. The primary goal is to drive operational efficiency, enhance safety and performance, and ensure that all process control projects and services meet strategic and operational targets.
 
 
 
 This Position Will Achieve Its Purpose By
 
 
 
 <ul>
 <li>
 Leading the identification, analysis, and implementation of process optimization opportunities as Subject Matter Expert
 </li>
 <li>
 Developing, executing, and improving Advanced Process Control (APC), Real-Time Optimization (RTO), PID tuning, and Alarm Rationalization projects.
 </li>
 <li>
 Providing expert technical guidance and support to engineering, maintenance, and operational team in process control.
 </li>
 <li>
 Guiding and mentoring junior engineers in process control and optimization principles.
 </li>
 <li>
 Ensuring all activities align with company strategies, values, and best international practices, while adhering to all HSE and legal standards.
 
 
 </li>
 </ul>
 
 What We Can Offer
 
 
 
 <ul>
 <li>
 Meaningful and interesting projects delivered to leaders of industry across oil and gas and emerging energy sectors
 </li>
 <li>
 Commitment to Diversity and Inclusion; we are an organisation actively committed to diversity and inclusion across our business with employee networks committed to giving all employees a voice
 </li>
 <li>
 Competitive salary with regular salary reviews to ensure we are rewarding at the right level in line with the market
 </li>
 <li>
 Employee Assistance Programme: Allows you to feel comfortable knowing that you or your immediate family members can confidentially discuss any work or personal issues that are an inevitable part of life. The programme helps support your mental, physical, social &amp; financial well-being.
 </li>
 <li>
 Professional Memberships; One professional membership, registration, subscription, certification and/or license cost per annum for all active Wood employees. The membership must be relevant to the role you are currently employed in or be part of a development plan. Reimbursement should be claimed via the expenses procedure system, with supporting evidence.
 </li>
 <li>
 Global connections: join experts around the world who are at the leading edge of our industry, shaping the standards of our profession
 
 
 </li>
 </ul>
 
 Typical Responsibilities
 
 
 
 <ul>
 <li>
 Senior Process Control and Optimization: Analyze process data to identify opportunities for advanced process control (APC) and optimization. This includes developing and implementing strategies to improve plant efficiency, increase product yield, and reduce energy consumption.
 </li>
 <li>
 Control System Tuning and Management: Monitor control loop performance, conduct regular reviews, and implement changes to reduce variability and improve overall process stability.
 </li>
 <li>
 Alarm Management and Rationalization: Manage the plant's alarm system, leading alarm rationalization efforts to ensure alarms are effective, compliant with industry standards, and provide meaningful information to operators. This involves reducing nuisance alarms and improving operator response.
 </li>
 <li>
 Troubleshooting and Problem Solving: Analyze and provide recommendations to resolve operational issues with a direct business impact. This includes using advanced troubleshooting techniques to diagnose and correct problems within control systems and balancing various considerations such as economics and operational stability.
 </li>
 <li>
 Project Management and Design Review: Participate and execute design work for process control projects. Participate in technical evaluation of proposals, Review complex engineering designs from internal and external resources to ensure alignment with control strategy intent, system requirements, and project goals.
 </li>
 <li>
 Performance Monitoring and Improvement: Continuously monitor of APC application&rsquo;s performance, control loops, and specific equipment. Use data analysis and Root Cause Analysis (RCA) to propose and implement corrective actions for performance improvement.
 </li>
 <li>
 Safety and Compliance: Participate in HAZOP (Hazard and Operability) studies for any modifications to existing facilities, ensuring all changes comply with safety standards and best practices
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 What makes you remarkable?
 
 
 
 At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world&rsquo;s most critical challenges.
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 10 + years of relevant experience in process control, automation, or a related field within the Oil &amp; Gas / Refinery / Petrochemical industry.
 </li>
 <li>
 Experience in non-linear APC ( e.g Polymers)( Preferred)
 </li>
 <li>
 Experience in RTO
 </li>
 <li>
 Experience in AI ( Preferred)
 
 
 </li>
 </ul>
 
 Soft
 
 
 
 <ul>
 <li>
 Strong Communication skill verbal and written.
 </li>
 <li>
 Decisiveness
 </li>
 <li>
 Exercising influence
 </li>
 <li>
 Work Prioritization
 </li>
 <li>
 Critical Thinking Skills
 </li>
 <li>
 Result orientation
 </li>
 <li>
 Planning and Organizing
 
 
 </li>
 </ul>
 
 Technical
 
 
 
 <ul>
 <li>
 Demonstrated proficiency with at least one of the key APC software suites such as Aspen DMC, PACE, or Honeywell&rsquo;s Profit suite
 </li>
 <li>
 Experience in PID tuning, control loop performance analysis,
 </li>
 <li>
 Strong understanding and working knowledge of at least one DCS (Distributed Control Systems) platforms such as Yokogawa, Honeywell, Schneider DCS, etc.
 </li>
 <li>
 Strong Understanding of refinery operations, petrochemicals and economics
 </li>
 <li>
 Knowledge of alarm rationalization such as alarm prioritization, alarm suppression, bad actor analysis.
 </li>
 <li>
 Knowledge of project management, from initial scope definition and vendor selection to system commissioning and performance monitoring.
 
 
 </li>
 </ul>
 Knowledge of Steady state and dynamic process modelling and simulations
 
 
 
 About Us
 
 
 
 Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 45 countries, employing around 25,000 people. www.woodplc.com
 
 
 
 Diversity Statement
 
 
 
 We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.
</div>

Senior Engineer Process Control

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Join the next revolution in robotics at Amazon's Frontier AI &amp; Robotics team, where you'll work alongside world-renowned AI pioneers like Pieter Abbeel, Rocky Duan, and Peter Chen to make breakthrough foundation models run at production scale. As a Senior Machine Learning Engineer embedded in our science team, you'll be instrumental in transforming innovative research into high-performance production systems. You'll collaborate directly with scientists to optimize large-scale transformer architectures for robotics applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale. 
 
In this role, you'll balance deep technical optimization work with strategic input on model architecture decisions, ensuring our innovative robotics models are designed with performance in mind from the ground up. You'll leverage NVIDIA's acceleration stack and other compilation techniques to tackle ambitious performance targets, working at the intersection of large language models and real-world robotics applications. 
 
Key job responsibilities 
<ul><li>Drive inference optimization strategies for large-scale foundation models using TensorRT, CUDA, and other NVIDIA tools</li><li>Collaborate closely with scientists to influence model architectures for optimal hardware utilization</li><li>Design and implement efficient compilation pipelines for complex transformer architectures</li><li>Develop comprehensive benchmarking frameworks to measure and optimize model performance</li><li>Build robust monitoring solutions to ensure reliable model serving at scale</li><li>Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers</li><li>Maintain high engineering standards through proper testing, documentation, and code review practices</li></ul> 
A day in the life 
<ul><li>Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques</li><li>Partner with scientists to analyze model architectures and propose efficiency improvements</li><li>Implement and benchmark various optimization strategies for large-scale models</li><li>Debug performance bottlenecks using NVIDIA profiling tools</li><li>Participate in technical discussions about new model architectures with the science team</li><li>Design and maintain performance monitoring systems for production deployment</li><li>Prototype new acceleration approaches using emerging compilation frameworks</li></ul> 
About the team 
At Frontier AI &amp; Robotics, we're not just advancing robotics &ndash; we're reimagining it from the ground up. Our team, led by pioneering AI researchers Pieter Abbeel, Rocky Duan, and Peter Chen, is building the future of intelligent robotics through innovative foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. 
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence &ndash; from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. 
 
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in computer science or equivalent</li><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Strong expertise in Python, C++ and CUDA programming</li><li>Experience with TensorRT or similar ML optimization frameworks</li><li>Track record of optimizing ML models for production</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Expertise in NVIDIA's ML stack (cuDNN, CUDA Graph, etc.)</li><li>Experience with ML compilers (ONNX Runtime, TVM, etc.)</li><li>Experience with transformer model optimization</li><li>Background in performance profiling and optimization</li><li>Experience working directly with research teams</li><li>Track record of building robust monitoring systems</li><li>Experience with large-scale ML serving systems</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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. 
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. 
USA, CA, San Francisco - 193,300.00 - 261,500.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Sr. Software Development Engineer, Frontier AI & Robotics

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