optimization engineer

Tether Operations Limited

<div><p><b><i>Join Tether and Shape the Future of Digital Finance</i></b></p><p>
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.</p><p></p><p><b><i>
Innovate with Tether</i></b></p><p><b>
Tether Finance: </b>Our innovative product suite features the world&rsquo;s most trusted stablecoin, <b>USDT</b>, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.</p><p>
But that&rsquo;s just the beginning:</p><p><b>
Tether Power: </b>Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.</p><p><b>
Tether Data: </b>Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like <b>KEET</b>, our flagship app that redefines secure and private data sharing.</p><p><b>
Tether Education</b>: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.</p><p><b>
Tether Evolution</b>: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.</p><p></p><p><b><i>
Why Join Us?</i></b></p><p>
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.</p><p>
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.</p><p><b>
Are you ready to be part of the future?</b></p><p></p><h3 class="jobSectionHeader"><b>
About the job</b></h3><p>
The <b>AI &amp; Optimization Lead &mdash; Bitcoin Mining Operations </b>will play a crucial role in defining and executing the AI vision for <b>MOS (Mining Operating System)</b> and <b>MDK (Mining Development Kit)</b> &mdash; the core FOSS platforms powering Tether&rsquo;s Bitcoin-mining operations worldwide.</p><p>
This role is responsible for <b>designing the data foundation and AI models that drive real-world operational efficiency across mining sites</b>, with a focus on performance optimization, predictive insights, and intelligent automation. You will work closely with engineering, data, and operations teams to define a <b>structured data baseline</b>, ensure high-quality data modelling, and develop AI-driven solutions that are fully integrated into MOS/MDK.</p><p>
Your mission is simple and ambitious:<br>
<b>turn data into intelligence &mdash; and intelligence into site-level efficiency.</b></p><p>
A strong background in <b>data architecture, modelling, ML/AI systems, and mathematical optimization</b> is essential. Prior exposure to Bitcoin mining or industrial/IoT environments is highly valuable, but not mandatory.</p><p></p><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><p><b>
AI Vision &amp; Strategy</b></p><ul><li>
Define and lead the <b>AI strategy</b> for MOS &amp; MDK with a focus on operational efficiency and measurable business outcomes.</li><li>
Translate operational challenges into <b>data and optimization problems</b> that AI models can solve.<br>
</li><li>
Establish best-practice frameworks for scalable, production-ready AI systems.</li></ul><p><b>
Data Foundation &amp; Modelling</b></p><ul><li>
Design a <b>standardized data baseline / schema</b> for all mining-site telemetry and events.</li><li>
Ensure data is structured, normalized, labelled and accessible for AI/ML use cases.</li><li>
Work with backend engineers to evolve the data pipeline and integration standards.</li></ul><p><b>
Model Development &amp; Optimization</b></p><ul><li>
Build and deploy <b>ML/AI and optimization models</b> such as:<ul><li>
performance optimization</li><li>
anomaly detection</li><li>
predictive failure &amp; maintenance</li><li>
energy-efficiency insights</li><li>
operational automation recommendations</li></ul></li><li>
Continuously evaluate and improve model performance in production.</li></ul><p><b>
Integration &amp; Delivery</b></p><ul><li>
Work with MOS &amp; MDK engineering teams to <b>embed AI models into platform workflows and APIs</b>.</li><li>
Ensure models are efficient, reliable, explainable, and maintainable.</li></ul><p><b><br>
Cross-Team Collaboration</b></p><ul><li>
Collaborate with site-operations teams to validate results and gather feedback.</li><li>
Align with leadership on AI roadmap, priorities, impact tracking, and KPIs.</li><li>
Document systems, architecture, and modelling assumptions clearly.</li></ul><p><b><br>
Culture &amp; Mindset</b></p><ul><li>
Promote a <b>data-driven, efficiency-first culture</b> within the Mining Software team.</li><li>
Stay updated on AI, optimization and industrial analytics trends.</li></ul><br>
<p></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Data Science, Applied Mathematics, Engineering, Statistics, or similar</b>.</li><li><b>
3+ years&rsquo; experience</b> in AI/ML, data science, or applied optimization roles.</li><li>
Proven experience designing <b>data models / schemas / baselines</b> for large-scale, time-series&ndash;heavy datasets.</li><li>
Strong proficiency in <b>Python</b> and modern ML frameworks (e.g., PyTorch, TensorFlow, Scikit-Learn).</li><li><b>
Strong JavaScript / TypeScript proficiency</b> (Node.js ecosystem)</li><li>
Familiarity with <b>containerized workloads (Docker)</b></li><li>
Experience developing and deploying time-series, anomaly detection, classification, and predictive models for mechanical, electromechanical, or hardware-intensive equipment/systems in production environments.</li><li>
Solid understanding of signal processing and feature extraction for sensor data (e.g., electrical, thermal, vibration, or telemetry signals).</li><li>
Solid understanding of <b>optimization techniques</b> (linear/non-linear programming, simulation, decision systems, etc.).</li><li>
Experience <b>deploying, monitoring, maintaining AI models into production systems </b>including handling model drift and evolving operating conditions.</li><li>
Excellent English communication skills and ability to collaborate in distributed teams.</li></ul><p></p><p><b>
Important information for candidates</b><br>
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:</p><ul><li><b>
Apply only through our official channels.</b> We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li><b>
Verify the recruiter&rsquo;s identity.</b> All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li><b>
Be cautious of unusual communication methods.</b> We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li><b>
Double-check email addresses.</b> All communication from us will come from emails ending in <b>@</b>tether.to<b> or @</b>tether.io</li><li><b>
We will never request payment or financial details.</b> If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul><p><b>
When in doubt, feel free to reach out through our official website.</b></p></div>

AI & Optimization Engineer (100% Remote)

Apple

<div>As part of our Silicon Engineering group, you will take imaginative and revolutionary ideas and determine how to turn them into reality! You and your team will apply engineering fundamentals and start from scratch if needed, bringing forward-thinking ideas to the real world. Join us, and you will help design products that bring to our customers experiences they&rsquo;ve never before envisioned. In this highly visible role, you will be responsible for SOC power optimization automation, power modeling, and simulation.<br>
<br>
<b>Description</b><br>
<br>
The main responsibility of this role is to drive the automation for SOC power optimization.<br>
<br>
<ul><li>Working with SOC power team members to automate the power analysis and optimization tasks</li></ul><br>
<ul><li>Explore new methodology to analyze the power data, create power metrics to identify the optimization opportunities, drive automated approach to improve SOC power efficiency across IPs</li></ul><br>
<ul><li>Explore machine learning approaches to optimize SOC power, work with team members on training data preparation, research ML based solution for power simulation, optimization and modeling.</li></ul><br>
<ul><li>Collaborate cross-functional teams to deploy the power optimization automation to improve SOC power, review results, improve the methodology on efficiency, runtime, and support boarder scope of designs.</li></ul><br>
<b>
Preferred Qualifications</b><br>
<br>
MSEE preferred<br>
<br>
Familiarity with machine learning algorithms and programming<br>
<br>
Familiarity with scripting in Python.<br>
<br>
Familiarity with ASIC power analysis and optimization<br>
<br>
Familiarity with SOC design flow and methodology<br>
<br>
Familiarity with Verilog and System Verilog.<br>
<br>
Familiarity computer architecture, logic and circuits design<br>
<br>
Familiarity signal processing is a plus<br>
<br>
Silicon power measurement experience is a plus<br>
<br>
SOC power modeling, low power design and power optimization experience is a plus<br>
<br>
Strong communication skills are a pre-requisite as the candidate will interface with a lot of different groups<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
A minimum of a bachelor's degree in relevant field and a minimum of 3 years of relevant industry experience.<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

SoC Power Analysis and Optimization Engineer

<div>As part of our Silicon Engineering group, you will take imaginative and revolutionary ideas and determine how to turn them into reality! You and your team will apply engineering fundamentals and start from scratch if needed, bringing forward-thinking ideas to the real world. Join us, and you will help design products that bring to our customers experiences they&rsquo;ve never before envisioned. In this highly visible role, you will be responsible for SOC power optimization automation, power modeling, and simulation.<br>
<br>
<b>Description</b><br>
<br>
The main responsibility of this role is to drive the automation for SOC power optimization.<br>
<br>
<ul><li>Working with SOC power team members to automate the power analysis and optimization tasks</li></ul><br>
<ul><li>Explore new methodology to analyze the power data, create power metrics to identify the optimization opportunities, drive automated approach to improve SOC power efficiency across IPs</li></ul><br>
<ul><li>Explore machine learning approaches to optimize SOC power, work with team members on training data preparation, research ML based solution for power simulation, optimization and modeling.</li></ul><br>
<ul><li>Collaborate cross-functional teams to deploy the power optimization automation to improve SOC power, review results, improve the methodology on efficiency, runtime, and support boarder scope of designs.</li></ul><br>
<b>
Preferred Qualifications</b><br>
<br>
MSEE preferred<br>
<br>
Familiarity with machine learning algorithms and programming<br>
<br>
Familiarity with scripting in Python.<br>
<br>
Familiarity with ASIC power analysis and optimization<br>
<br>
Familiarity with SOC design flow and methodology<br>
<br>
Familiarity with Verilog and System Verilog.<br>
<br>
Familiarity computer architecture, logic and circuits design<br>
<br>
Familiarity signal processing is a plus<br>
<br>
Silicon power measurement experience is a plus<br>
<br>
SOC power modeling, low power design and power optimization experience is a plus<br>
<br>
Strong communication skills are a pre-requisite as the candidate will interface with a lot of different groups<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
A minimum of a bachelor's degree in relevant field and a minimum of 10 years of relevant industry experience.<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

<div>As part of our Silicon Engineering group, you will take imaginative and revolutionary ideas and determine how to turn them into reality! You and your team will apply engineering fundamentals and start from scratch if needed, bringing forward-thinking ideas to the real world. Join us, and you will help design products that bring to our customers experiences they&rsquo;ve never before envisioned. In this highly visible role, you will be responsible for SOC power optimization automation, power modeling, and simulation.<br>
<br>
<b>Description</b><br>
<br>
The main responsibility of this role is to drive the automation for SOC power optimization.<br>
<br>
<ul><li>Working with SOC power team members to automate the power analysis and optimization tasks</li></ul><br>
<ul><li>Explore new methodology to analyze the power data, create power metrics to identify the optimization opportunities, drive automated approach to improve SOC power efficiency across IPs</li></ul><br>
<ul><li>Explore machine learning approaches to optimize SOC power, work with team members on training data preparation, research ML based solution for power simulation, optimization and modeling.</li></ul><br>
<ul><li>Collaborate cross-functional teams to deploy the power optimization automation to improve SOC power, review results, improve the methodology on efficiency, runtime, and support boarder scope of designs.</li></ul><br>
<b>
Preferred Qualifications</b><br>
<br>
MSEE preferred<br>
<br>
Familiarity with machine learning algorithms and programming<br>
<br>
Familiarity with scripting in Python.<br>
<br>
Familiarity with ASIC power analysis and optimization<br>
<br>
Familiarity with SOC design flow and methodology<br>
<br>
Familiarity with Verilog and System Verilog.<br>
<br>
Familiarity computer architecture, logic and circuits design<br>
<br>
Familiarity signal processing is a plus<br>
<br>
Silicon power measurement experience is a plus<br>
<br>
SOC power modeling, low power design and power optimization experience is a plus<br>
<br>
Strong communication skills are a pre-requisite as the candidate will interface with a lot of different groups<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
A minimum of a bachelor's degree in related field<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $190,900, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Zoox

<div><div>The Perception team is pioneering the development of a multi-modality foundation model to drive the next generation of autonomous system intelligence.</div>
<div><br>
As a Model Optimization &amp; Deployment Engineer, you will focus on bringing highly efficient, production-ready large-scale models to our on-vehicle stack. We are looking for experts with hands-on experience in compressing, accelerating, and deploying complex models (LLMs, VLMs, or FMs) for power- and thermal-constrained vehicle SOCs. You will optimize the ML models, write custom CUDA kernels, and build highly concurrent inference code to ensure real-time, deterministic execution on edge devices.</div>
<h3 class="jobSectionHeader"><b>In this role, you will:
</b></h3><ul><li>Optimize large-scale models (LLMs, VLMs) using advanced quantization (PTQ, QAT), mixed-precision inference workflows, and parameter-efficient fine-tuning (LoRA, QLoRA).</li>
<li>
<p>Architect and implement model conversion and compilation pipelines using TensorRT and TensorRT-LLM for edge deployment.</p>
</li>
<li><p>Perform rigorous parity checking, accuracy recovery, and latency benchmarking between PyTorch frameworks and compiled edge binaries.</p>
</li>
Write and optimize custom CUDA kernels and TensorRT Plugins to maximize memory bandwidth and minimize latency on AI accelerators.<br>
<li>
</li>
Write production-level, highly concurrent, and memory-safe C++ and Python code for real-time inference on vehicle SOCs.<br>
<li>
</li>
</ul><h3 class="jobSectionHeader"><b>Qualifications:
</b></h3><div>Deep expertise in model quantization (PTQ, QAT) and mixed-precision inference workflows (INT8, FP8, INT4, BF16/FP16).<br>
<ul><li>
</li>
Proven experience optimizing large-scale models (LLMs, VLMs, or VLAs) utilizing KV-cache optimization (e.g., PagedAttention), Speculative Decoding, and Efficient Attention mechanisms (FlashAttention, Linear Attention).<br>
<li>
</li>
Extensive experience with model conversion/compilation pipelines (TensorRT, TensorRT-LLM) and performing rigorous parity/latency benchmarking.<br>
<li>
</li>
Proficiency in low-level programming for AI accelerators, specifically writing and optimizing custom CUDA kernels and TensorRT Plugins.<br>
<li>
</li>
<li>Production-level C++ (14/17/20) and Python programming skills, with experience writing concurrent, memory-safe, real-time inference code for edge devices.</li>
</ul></div><h3 class="jobSectionHeader"><b>Bonus Qualifications:</b></h3><div>
Experience with distributed training pipelines and model/tensor parallelism (PyTorch Distributed, Ray, DeepSpeed, Megatron-LM) and runtime efficiency optimization for GPU clusters.<br>
<ul><li>
</li>
Familiarity with autonomous driving perception stacks (temporal 3D object detection, BEV, 3D Occupancy Networks) and processing multi-modal sensor streams (Vision, LiDAR, Radar).<br>
<li>
</li>
<li>Understanding of end-to-end autonomous driving paradigms (VLA models, closed-loop simulation validation).</li>
</ul></div><div><div><b>Base Salary Range</b></div>
<div></div>
<div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.</div>
<div></div>
<div>Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div>
</div><div><b>About Zoox</b></div><div>
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We&rsquo;re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div></div><div><br>
Follow us on LinkedIn</div><div></div><div><b><br>
Accommodations</b></div><div>
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div></div><div><b><i><br>
A Final Note:</i></b></div><div><i>
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</i></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior AI Inference Engineer - Model Optimization & Deployment

Tesla

<div><b>What to Expect</b><div><p>
Consider before submitting an application:</p><p>
This position is expected to start August or September 2026 and continue through fall term (ending approximately December 2026 or later, if available). We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.</p><p>
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.</p><p>
The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We provide an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team&rsquo;s success.</p><p>
About the Team</p><p>
Your application for the Equipment Engineer or Process Engineer Internships will be considered across all opportunities for the teams listed below:</p><p>
Manufacturing Equipment Engineer:</p><p>
The Manufacturing Equipment Engineer Intern is primarily responsible for the design of equipment, maintenance procedures, tooling retrofits, performance improvements, and deployment of new processes/equipment. The selected candidate assumes full ownership of specific equipment technologies and maintaining them for use with the highest standards of safety, quality, and output that is required for large volume world class manufacturing. The Manufacturing Equipment Engineering Intern works closely with Tesla&rsquo;s internal Product Design, Operations, Safety, Facilities, Quality, Maintenance, and Process Engineering teams and coordinates cross-functional activities for day-to-day problem solving.</p><p>
Process Engineer:</p><p>
The Process Engineering Intern will implement, develop, and optimize production methodologies in the manufacturing operations. They will be responsible for optimizing product flow through the factory through process optimization that may include tool /fixture selection, line layouts, ergonomic study, material presentation, and other relevant factors. They will also focus on material flow and layout optimization to enhance efficiency, reduce bottlenecks, and improve overall throughput. They will interface with design, test, and quality engineering to solve problems, improve manufacturability, and implement continual improvement. They will sustain products with cost reduction and yield improvements. In addition, the Process Engineering Intern will work with quality to compile and evaluate data to determine appropriate limits and variables for process or material specifications.</p><p>
Multiple Locations Possible: Austin, TX; Buffalo, NY; Fremont, CA; Lathrop, CA; Sparks, NV</p></div><b><br>
What You'll Do</b><div><ul><li><p>
Design and own equipment to meet operation requirements and specifications for new launches and sustaining projects</p></li><li>
Create equipment drawings, specs, quotes, and purchase requisitions ensuring designs are compatible with production processes</li><li>
Develop expertise in manufacturing processes through critical data analysis and in-depth product and process knowledge; understand process capabilities and develop specifications for assembly, storage, and specialized line display equipment</li><li>
Support the Design for Manufacturing team Utilize Design for Manufacturability/Assembly (DFM/DFA) principles for design of Equipment, to ensure early manufacturing considerations are integrated into the design cycle</li><li>
Analyze and optimize production processes to maximize Overall Equipment Effectiveness (OEE), quality, yield, capacity, and capability while ensuring safety and driving cost-effective continuous improvement projects</li><li>
Design and modify line layouts, establish key performance indicators (KPIs) for quality, safety, rate, downtime, and manpower; set targets and lead projects from product conception through production launch</li><li>
Drive a culture of continuous improvement using lean manufacturing tools (value stream mapping, line balancing, 5S, waste reduction) to optimize processes, reduce waste, and improve product flow and line efficiency</li><li>
Collaborate cross-functionally with Manufacturing, Design, and Quality Engineering teams to define, qualify, and track new processes, including associated work instructions, equipment, tools, materials, and training</li><li>
Develop FMEAs and Control Plans while ensuring high levels of safety, ergonomic compliance, and process control; characterize baseline system performance and drive actions to improve quality and equipment availability</li><li>
Define and oversee Factory and Site Acceptance Tests (FAT/SAT) of manufacturing equipment; develop knowledge of automation systems, robotics, PLCs, and data collection; work with vendors to resolve failures, implement equipment modifications, establish preventive maintenance schedules, and train technicians/operators</li></ul></div><br>
<b>
What You'll Bring</b><div><ul><li>
Currently pursuing a degree in Engineering or a related field</li><li>
You must be self-managed and committed to working in a fast-paced environment</li><li>
Hands-on experience is a must</li><li>
Professional and positive communication skills</li><li>
Previous internship and/or project experience is a plus</li><li>
Ability to read and interpret basic mechanical drawings and electrical schematics</li><li>
Knowledge of machining and manufacturing processes; understanding of engineering materials and processes</li><li>
Proficient in CAD software (AutoCAD for 2D layouts for Process Engineer, SolidWorks or similar modeling software for 3D CAD design and drawings for Manufacturing Equipment Engineer)</li></ul></div><br>
<b>
Compensation and Benefits</b><div>
Benefits</div><div><p>
As a full-time Tesla Intern, you will be eligible for:</p>
<ul><li>Medical plans &gt; plan options with $0 payroll deduction</li>
<li>Family-building, fertility, adoption and surrogacy benefits</li>
<li>Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution</li>
<li>Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA</li>
<li>Healthcare and Dependent Care Flexible Spending Accounts (FSA)</li>
<li>401(k), Employee Stock Purchase Plans, and other financial benefits</li>
<li>Company Paid Basic Life, AD&amp;D, and short-term disability insurance (90 day waiting period)</li>
<li>Employee Assistance Program</li>
<li>Sick and Vacation time (Flex time for salary positions), and Paid Holidays</li>
<li>Back-up childcare and parenting support resources</li>
<li>Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft &amp; legal services, and pet insurance</li>
<li>Commuter benefits</li>
<li>Employee discounts and perks program</li>
</ul></div><div>Expected Compensation</div><div>
$20.00 - $50.00/hour + benefits<p>
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</p></div><br>
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.<br>
<br>
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.</div>

Internship, Equipment or Process Engineer, Manufacturing (Fall 2026)

ExxonMobil

<p></p><div><p><b>About us</b></p><p></p><p><br>
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.</p><p></p><p><br>
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.</p><p></p><p><br>
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about our <b>What</b> and our <b>Why</b> and how we can work <b>together</b>.</p><div><div><div><h2 class="jobSectionHeader"><b>
About Houston</b></h2></div><p></p><div><p><br>
ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.</p><p></p><p><br>
By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company&rsquo;s ability to attract, develop and retain the top talent in the industry.</p><p></p><p><br>
The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.</p><p></p><p><br>
The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world&rsquo;s top academic, research, and corporate facilities.</p><p></p><p><b><br>
Learn more about what we do in Houston </b><b>here</b><b>.
</b></p></div></div><div><div><h2 class="jobSectionHeader"><b>What role you will play in our team</b></h2></div><p></p><div><p><br>
As an Optimization Scientist, you will apply deep technical expertise and strong business understanding to design, implement, and scale advanced optimization solutions across domains such as supply chain, commercial operations, and trading. In this role, you will act as a trusted subject‑matter expert in mathematical optimization, developing innovative algorithms, experimenting with novel solution approaches, and transforming complex business challenges into high‑value optimization models.</p></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
What you will do</b></h2></div><p></p><div><br>
<ul><li>
Design and implement scalable mathematical optimization models to address complex business challenges.</li><li>
Partner with stakeholders to identify high-impact opportunities and align solutions with business objectives.</li><li>
Lead the integration of optimization technologies into broader systems, collaborating with engineering and IT teams.</li><li>
Drive innovation by exploring and applying state-of-the-art optimization techniques and tools.</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
About you</b></h2></div><p></p><div><p><b><br>
Job Requirements:</b></p><ul><li>
Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related discipline.</li><li>
2+ years of experience (not including school time) in designing and deploying mathematical optimization models.</li><li>
Expertise in linear, mixed-integer programming, optimization under uncertainty (stochastic/robust optimization), algorithm development including decomposition for large-scale optimization.</li><li>
Strong programming skills in Python or similar languages, with experience using solvers like Gurobi/CPLEX.</li><li>
Understanding of cloud-based architecture solutions for large-scale optimization.</li><li>
Strong communication skills with ability to communicate technical details to non-technical business partners</li><li>
Strong strategic mindset with the ability to drive large-scale initiatives.</li><li>
Proven ability to influence and engage with cross-functional teams and leadership.</li></ul><p></p><p><b><br>
Preferred Knowledge/Skills/Experience:</b></p><ul><li>
Proven experience in developing and deploying optimization based solutions</li><li>
Recognized as an industry expert with a track record of publications or presentations in optimization and related fields.</li><li>
Business acumen in supply chain management, commercial, and trading in oil and gas or a similar business is preferred.</li><li>
Experience in applying optimization within supply chain, energy, or operational research domains.</li><li>
Knowledge of integrating optimization models with AI/ML techniques.</li><li>
Proven ability to build external networks and partnerships to drive innovation and collaboration.</li><li>
Strong focus on both technical rigor and business outcomes.</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
Your benefits</b></h2></div><p></p><div><p><br>
An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.</p><p><b><br>
We offer you:</b></p><p></p><ul><li><p><br>
Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life</p></li><li><p>
Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match</p></li><li><p>
Workplace Flexibility: We have several programs such as &ldquo;Flex your Day&rdquo;, providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work</p></li><li><p>
Comprehensive medical, dental, and vision plans.</p></li><li><p>
Culture of Health: Programs and resources to support your wellbeing</p></li><li><p>
Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you</p></li><li><p>
Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you</p></li></ul><p></p><p><b><br>
More information on our Company&rsquo;s benefits can be found at </b><b>www.exxonmobilfamily.com</b></p><p></p><p><b><br>
Please note benefits may be changed from time to time without notice, subject to applicable law</b></p></div></div><div><div><h2 class="jobSectionHeader"><b>
Stay connected with us</b></h2></div><p></p><div><p><br>
Learn more at our <b>website</b><b>
</b></p><p>Follow us on <b>LinkedIN</b><b> </b>and <b>Instagram</b></p><p>
Like us on <b>Facebook</b></p><p>
Subscribe our channel at <b>YouTube</b></p></div></div><div><div><h2 class="jobSectionHeader"><b>
EEO statement</b></h2></div><p></p><div><p><b><br>
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.</b></p></div></div></div><p></p><p><br>
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.</p><p></p><p><br>
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.</p></div>

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