Explore 4 optimization algorithm developer jobs from 2 hiring companies in Pacific Grove, CA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

optimization-algorithm-developer

Optimization Algorithm Developer

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Optimization Algorithm Developer Jobs

Apple

Cover

Onsite

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<p>Cover is an AI security company developing concealed weapon detection systems. Cover's imaging technology scans students for concealed weapons in K-12 schools in the United States. Our goal is to deter school shootings by identifying concealed weapons inside of bags and underneath clothing. Our office for this hire is in San Jose, CA and requires 5 days per week in-office work.&nbsp;</p>
<p>We are looking for a highly skilled and motivated engineer to develop and optimize radar imaging algorithms for Cover's concealed weapon detection system. The candidate will join a strong team of engineers working across radar signal processing, real-time GPU computing, and system performance analysis to deliver a deployable commercial product.</p>
<p>The candidate will own the core image formation pipeline - developing 3D radar imaging algorithms, pushing them to real-time performance on GPU hardware, and building the tools needed to analyze and validate system performance. The position is expected to last for two years with high potential for growth and follow-on employment at the company.</p>
<p><strong>Responsibilities:</strong></p>
<ul>
<li>Development of 3D radar image formation algorithms</li>
<li>Optimization of algorithms for real-time performance on GPUs</li>
<li>Development of image performance analysis and diagnostic tools</li>
<li>Radar data analysis</li>
<li>Radar system performance analysis</li>
<li>Attend and present results and progress at bi-weekly meetings</li>
<li>Be present in the laboratory on a daily basis</li>
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<p><strong>Requirements:</strong></p>
<ul>
<li>College degree required. Master's or PhD in Electrical Engineering, Physics, or related field acceptable, with compensation in accord with experience and degree level</li>
<li>Experience with imaging algorithm development for MIMO and SAR radar systems</li>
<li>Experience with development of GPU-optimized processing code</li>
<li>Strong grasp of radar fundamentals, especially for wideband FMCW systems</li>
<li>Strong software development skills</li>
<li>Fluency in Python and C with CUDA</li>
<li>Willingness and propensity to learn new skills and take on tasks outside the core job description</li>
<li>Ability to work collaboratively on a multidisciplinary team of hardware and software engineers</li>
<li>Motivated and invested in the success of the project</li>
<li>Due to technology export restrictions, applicant must be a US Person (citizen or legal permanent resident)</li>
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<p><br>The US base salary range for this full-time position is between $150,000 - $350,000 annually.</p>
<p>The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.&nbsp;</p>
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Radar Imaging Engineer

Develop 3D radar imaging algorithms, GPU optimization, and data analysis; strong software and radar fundamentals; US Person due to export restrictions.

<p>The Siri Team at Apple is actively looking for a highly motivated Systems Software Engineer to contribute to and build Apple's future technologies that power delightful Siri experiences supercharged with Apple Intelligence. The successful candidate will be a skilled software engineer with strong ML fundamentals who enjoys problem-solving and is comfortable with designing, building, and optimizing system software that integrates machine learning capabilities.</p><p>Our team builds high-quality software that powers delightful Siri-based experiences in the Apple ecosystem. We value passion for excellence and a deep commitment to building high-quality software. If you want to impact millions of customers around the world by working on the most advanced technology solutions, we want to talk to you.</p><h3>Description</h3><p>As a Machine Learning Systems Engineer in the Siri Group at Apple, you will work at the intersection of software engineering and machine learning, partnering with cross-functional teams to solve high-impact problems on Apple products.</p><h3>Minimum Qualifications</h3><ul><li>Strong programming skills in Swift / C++ / Objective-C</li><li>Solid understanding of machine learning concepts, model inference, and ML system design principles</li><li>Experience developing and optimizing algorithms that run efficiently on resource-constrained platforms</li><li>Passionate about delivering high-quality products, comfortable with ambiguity, intellectually curious and driven to find creative solutions</li><li>Ability to thrive in collaborative environments with multiple cross-functional teams and communicate clearly with both engineering and ML teams</li><li>BS (or higher) in Computer Science, Machine Learning, or related disciplines</li></ul><h3>Preferred Qualifications</h3><ul><li>Demonstrated experience building production-quality software</li><li>Experience building ML infrastructure, evaluation pipelines, or training systems</li><li>Familiarity with ML frameworks (Core ML, PyTorch, TensorFlow) and model optimization techniques</li></ul>

Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

Machine Learning Systems Engineer

Strong programming in Swift/C++/Objective-C; solid ML concepts; ML system design; optimize algorithms for resource-constrained platforms; BS in CS/ML; collaborative skills.

<p>Are you passionate about crafting solutions to intricate challenges? Join the Low Power group<br />at Silicon Technologies and contribute to the development of cutting-edge technology and<br />capabilities for low-power chip design. Your work will fuel Apple’s next-generation chips!<br />Responsible for developing and improving low-power flow algorithms using AI and machine<br />learning, which significantly impacts the work of many designers involved in mobile system-on-<br />chips</p><h3>Description</h3><p>In this role, you’ll develop innovative automated tools and capabilities for the Silicon<br />Engineering Power team. Your contributions will enable the creation of chips with<br />unprecedented power eﬃciency. You’ll be involved in the architecture, implementation, and<br />validation of advanced low-power design and verification workflows. Additionally, you’ll shape<br />low-power strategies for emerging technologies.<br />Your responsibilities will encompass the development of flows and tools for power analysis,<br />optimization, and verification, seamlessly integrated into stages such as RTL development/<br />verification, synthesis, or place-and-route (P&amp;R). You’ll actively leverage various AI tools to<br />innovate new solutions and enhance existing ones. Additionally, you’ll collaborate with design<br />teams to address queries, resolve issues, and ensure the smooth adoption of these<br />methodologies.</p><h3>Minimum Qualifications</h3><ul><li>Minimum requirement of a Bachelors Degree in a relevant field</li></ul><h3>Preferred Qualifications</h3><ul><li>Solid grasp of VLSI designs and SOC design processes.</li><li>Enthusiasm for scripting and leveraging low-power expertise to innovate software solutions.</li><li>Enthusiasm for leveraging AI/ML to innovate low-power methodologies and flows.</li><li>Experience in flow development and algorithm design using Python/Perl/TCL.</li><li>Demonstrated proficiency in contemporary software testing and development methodologies.</li><li>Familiarity with low-power principles (e.g., low-power design techniques) is advantageous.</li></ul>

SoC Power Flow Methodology Engineer

Develop and improve low-power flow algorithms using AI/ML; build tools for power analysis, optimization, and verification across RTL to P&R

<p>Apple's Platform Architecture team is looking for a Simulation and Control Systems Engineer with a strong software background to help develop advanced thermal and power management algorithms. In this role, you will collaborate with a cross-functional team to design, implement, and validate algorithms that power millions of Apple devices worldwide.</p><h3>Description</h3><p>In this role, you will design, implement, debug, and validate control and estimation algorithms for complex thermal and electrical systems. You'll work closely with electrical and thermal engineering teams to interpret system requirements and constraints, and partner with software engineering teams to ensure that control algorithms are integrated in a robust, scalable, and efficient manner.</p><p>You will design and execute experiments for modeling and validation, collect and analyze data, and identify potential issues. When challenges arise, you'll be expected to propose thoughtful fixes and architectural decisions to ensure system performance and reliability.</p><p>This role offers a unique opportunity to work across hardware and software domains and to contribute directly to the performance of Apple's world-class products.</p><h3>Minimum Qualifications</h3><ul><li>BS in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Robotics, Computer Science or similar degree.</li><li>Hands-on experience in control systems development. (Such as modeling, algorithm design, simulation, implementation and/or testing)</li><li>Experience in Python or MATLAB.</li><li>Experience implementing control algorithms on embedded microcontroller platforms.</li><li>Experience with optimization techniques and modern control theory.</li></ul><h3>Preferred Qualifications</h3><ul><li>3 years relevant industry experience.</li><li>M.S. or Ph.D. in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Robotics, or Computer Science, with a focus on control systems or robotics, or equivalent professional experience.</li><li>Proficiency in C++.</li><li>Experience with software engineering workflows, including Git, code review, and CI/CD pipelines.</li><li>Strong knowledge of system identification, estimation theory, and statistical learning methods.</li><li>Knowledge of optimal and robust control, adaptive control, model predictive control and/or task and trajectory planning.</li><li>Ability to communicate complex control and algorithmic concepts clearly to cross-functional hardware and software teams.</li></ul>

Simulation and Control Systems Engineer - Platform Architecture

Simulation and Control Systems Engineer

BS in engineering or computer science; experience with control systems; Python or MATLAB; embedded control algorithms; optimization and modern control theory.

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