Explore 3 optimization algorithm developer jobs from 3 hiring companies in Vista, CA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

optimization-algorithm-developer

Optimization Algorithm Developer

San Marcos

Carlsbad

Oceanside

Escondido

San Diego

Encinitas

Fallbrook

Solana Beach

Rancho Penasquitos

Temecula

Mira Mesa

Poway

Valley Center

Murrieta

Lake San Marcos

La Jolla

San Clemente

Chula Vista

Bonsall

Optimization Algorithm Developer Jobs

Apple

Applied Intuition

Firestorm Labs

Hybrid

Onsite

<div><strong>Job Description&nbsp;</strong></div><div>Firestorm is building the next generation of uncrewed&nbsp;aircraft&nbsp;and the advanced manufacturing systems that deliver them at speed. The Software Integration &amp; Operations department owns the software layer that spans factory floor to cloud - the applications, automation, edge systems, and intelligence that make it possible to iterate product designs, automate advanced manufacturing, and scale production with uncompromising quality and rigor.&nbsp;</div><div><br></div><div>Firestorm's manufacturing platform has an intelligence layer - a planning workbench, a simulation engine, an analytics surface, and eventually an AI assistant - that turns operational data into better decisions. Building this layer requires applied math, pragmatic ML systems engineering, and a deep understanding of the manufacturing domain it serves. As an Applied AI &amp; Optimization Engineer, you will own the algorithms and systems behind this intelligence layer. Near-term, your focus is the planning workbench and simulation engine: optimization algorithms for work order scheduling, resource allocation, and conflict resolution. Longer-term, you will lead integration of open-source and custom LLMs into the platform's AI assistant - including air-gapped and on-edge deployments for DoD contexts.&nbsp;</div><div><br></div><div><strong>What You'll Do&nbsp;</strong></div><ul><li class="">Own the optimization algorithms behind the planning workbench and simulation engine - scheduling, resource allocation, constraint satisfaction, conflict detection.&nbsp;</li><li class="">Design and implement the analytics layer of the platform: defect trends, yield analytics, throughput modeling, and operational intelligence.&nbsp;</li><li class="">Lead the platform's AI assistant integration: selecting, evaluating, deploying, and fine-tuning open-source or custom LLMs for cloud, air-gapped, and on-edge contexts.&nbsp;</li><li class="">Productionize optimization and ML systems in partnership with full-stack and infrastructure engineers - reliable services the platform depends on, not prototypes.&nbsp;</li><li class="">Partner with domain experts in manufacturing engineering, quality, and planning to ground models and algorithms in real operational constraints.&nbsp;</li><li class="">Evaluate and advocate for build-vs-buy decisions across optimization libraries, ML tooling, and model vendors.&nbsp;</li></ul><div><br></div><div><strong>Required Qualifications&nbsp;</strong></div><ul><li class="">5+ years of engineering experience with substantial applied optimization, operations research, or ML systems work.&nbsp;</li><li class="">Deep&nbsp;proficiency&nbsp;in Python; fluency with at least one optimization framework - MILP solvers, constraint solvers, OR-Tools, or equivalent.&nbsp;</li><li class="">Track record&nbsp;of productionizing algorithmic systems - you have shipped optimization or ML into real users' hands, not just research artifacts.&nbsp;</li><li class="">Strong applied math foundation: combinatorial optimization, heuristics, or statistical modeling relevant to scheduling and resource allocation problems.&nbsp;</li><li class="">Demonstrated ability to partner with domain experts and translate operational constraints into model formulations.&nbsp;</li><li class="">Demonstrated history of holding yourself and your teammates to a high standard, even when it creates discomfort.&nbsp;</li></ul><div><br></div><div><strong>Preferred Qualifications&nbsp;</strong></div><ul><li class="">Prior experience building scheduling, planning, or resource allocation systems for manufacturing,&nbsp;logistics, or similar domains.&nbsp;</li><li class="">Hands-on experience deploying or fine-tuning open-source LLMs (Llama, Mistral, or similar) for constrained environments.&nbsp;</li><li class="">Background with air-gapped or on-edge model deployment.&nbsp;</li><li class="">Familiarity with discrete-event simulation or agent-based modeling.&nbsp;</li><li class="">Prior experience in defense, aerospace, or regulated industry applications.&nbsp;</li></ul><div><br></div><br><h2>Compensation</h2><div>The base pay range for this role is $140 – $185 per year.</div>

Applied AI & Optimization Engineer

5+ years in engineering with optimization/ML systems; Python; MILP/OR-Tools; productionizing algorithms; domain collaboration.

<div class="content-intro"><h2><strong><img style="max-width: 100%;" src="https://files.slack.com/files-pri/T04VD6C5DAR-F06LX7P4RMZ/applied_intuition_-_option_1.jpg" alt="" width="100%"></strong>About Applied Intuition</h2>
<div class="p-rich_text_section">Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at <a href="http://applied.co/">applied.co</a>.</div>
<p><em data-stringify-type="italic">We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.</em></p></div><h2><strong>About the Role</strong></h2>
<p>Applied is seeking a Software Engineer with strong foundations in algorithmic optimization and multi-agent systems. You’ll tackle complex computational challenges in our real-time decision-making platform, designing and implementing advanced algorithms that push the boundaries of autonomous coordination and planning. We seek motivated engineers driven by core mission values to join our Acuity Autonomous Behaviors and Agents engineering team focused on next-generation human-machine teaming and real-time decision-making systems. You’ll help build intelligent agents that plan and execute missions using advanced reasoning, planning, and optimization algorithms. Our work spans real-time scenarios, heterogeneous platforms (air, space, land, surface, sub-surface), and software that integrates seamlessly with human operators. If you thrive in fast-moving, mission-oriented environments and love building autonomy that help our warfighters, this is your role.</p>
<p>Your work will support our Axion and Acuity family of systems, enabling breakthrough capabilities in human-machine teaming across all domains. If you’re passionate about applying cutting-edge algorithms to solve mission-critical coordination problems, this role offers exceptional opportunities to advance the state of the art in autonomous decision making systems.</p>
<h2><strong>At Applied, you will:</strong></h2>
<ul>
<li>Design and implement multi-agent optimization algorithms for distributed decision-making and coordination problems&nbsp;</li>
<li>Develop temporal logic frameworks and constraint-satisfaction algorithms for complex planning scenarios</li>
<li>Create mathematical models for sequential decision process under uncertainty with probabilistic outcomes&nbsp;</li>
<li>Build computational frameworks that balance algorithmic efficiency with human-interpretable reasoning</li>
<li>Implement and evaluate quantitative metrics for algorithm performance, solution quality, and computational efficiency</li>
<li>Translate theoretical approaches into production-ready software implementations with rigorous testing methodologies</li>
<li>Collaborate with cross-disciplinary teams to refine algorithmic approaches based on empirical evaluation</li>
<li>Communicate technical details effectively across stakeholders, sponsors, and leadership</li>
</ul>
<h2><strong>We’re looking for someone who has:</strong></h2>
<ul>
<li>BS or MS in Computer Science, Software Engineering, Robotics, or a related technical field, OR 5+ years of professional experience developing intelligent agents or planning systems.</li>
<li>5+ years of hands-on experience developing performant modern C++ (we use C++ 20).</li>
<li>Strong theoretical understanding and practical experience implementing algorithms for constraint satisfaction, scheduling, and optimization problems.</li>
<li>Demonstrable skill in analyzing, visualizing, and optimizing algorithm performance and solution quality.</li>
<li>Proficiency with Bazel in Docker-based Linux environments.</li>
<li>Strong procedural and object-oriented programming experience that employs clean code principles and good OOP design patterns/principles.</li>
<li>Experience developing in Docker and containerized development environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu).</li>
<li>Understanding of Service-oriented Architecture and message broker vs data broker paradigms.</li>
<li>Experience using git, Visual Studio Code, GitLab, SonarQube, and Artifactory or Azure Container registry.</li>
<li>Ability to translate complex mathematical concepts into clear technical documentation and communicate complex software designs.</li>
<li>Strong critical thinking skills, methodical approach to algorithm development and validation, and ability to thrive in a dynamic, fast-paced environment.</li>
<li>Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate across multiple teams.</li>
<li>Passion for solving complex problems with little supervision in a fast-moving team.</li>
<li>Ability to balance multiple priorities in a fast-paced, highly collaborative, frequently changing, and sometimes ambiguous environment.</li>
</ul>
<h2><strong>Travel Requirements:</strong></h2>
<ul>
<li>Occasional travel required (approx. 10–20%) for demonstrations, integration, or customer engagement</li>
</ul>
<p><strong>Security Clearance</strong></p>
<ul>
<li>Must be a U.S. Citizen</li>
<li>Must be eligible for a U.S. SECRET clearance with Special Access Program (SAP) eligibility</li>
</ul>
<h2><strong>Nice to have:</strong></h2>
<ul>
<li>Advanced degree (MS+) in algorithms, computational optimization, or autonomous systems, OR 5+ years building autonomous decision systems.</li>
<li>Expertise in advanced planning paradigms (e.g., PDDL, HTN planning, Monte Carlo tree search), temporal reasoning, formal verification, or symbolic planning.</li>
<li>Experience with game theory for multi-agent coordination or negotiation protocols.</li>
<li>Familiarity with real-time optimization under hardware/edge constraints.</li>
<li>Background in Battle Management Command and Control (BMC2) or defense applications.</li>
<li>Master’s degree in computer science/related engineering field.</li>
<li>7+ years developing software in C++ (C++ 2017)</li>
<li>Proficient with build tools like Conan and Bazel.</li>
<li>Experience on national security projects for government agencies.</li>
<li>Interdisciplinary background with a focus on continual learning.</li>
</ul>
<p>Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.</p>
<p>Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials &amp; certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.</p>
<p>Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 to $200,000 USD annually.</p><div class="content-conclusion"><p><em><span style="font-weight: 400;">Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</span></em></p>
<p><em><span style="font-weight: 400;">Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.</span></em></p></div>

Senior C++ Software Engineer - Mission Systems

Senior C++ Software Engineer

5+ years C++20, multi-agent planning, optimization algorithms; Docker/Linux; Bazel; Git; security clearance eligibility; BS/MS or equivalent experience.

<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

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