Multimodal AI Engineer specializing in Document Understanding

Join our innovative team and help define the future of AI, focusing on the narrative of document understanding.About the Role:We are on the lookout for talented AI engineers to become a part of our dedicated document understanding team. In this role, you'll be at the crossroads of computer vision, natural language processing, and production machine learning systems, driving advancements in document parsing and comprehension.Our team powers LlamaParse, LlamaExtract, and other advanced processing solutions, handling millions of intricate documents such as PDFs, PowerPoints, Word files, and spreadsheets. Your contributions will significantly influence numerous developers who are creating RAG applications and document agents, in addition to enhancing our open-source frameworks that revolutionize industry standards in document processing.Depending on your expertise and interests, you may concentrate on data curation, model fine-tuning, or ML infrastructure. We are hiring multiple candidates and will collaborate with you to identify the perfect role for your skills.

About Hike Medical Hike Medical is building the future of musculoskeletal care by combining advanced technology with practical healthcare solutions. Based in San Francisco’s Rincon Hill, the team develops a platform that spans three core areas: an AI-powered vision system for rapid web-based foot scans that generate custom 3D-printed orthotics, an AI agent platform that manages the entire DME workflow from intake through claims, and SoleForge, a high-scale 3D printing facility for custom medical devices. Hike Medical partners with some of the world’s largest employers and major orthotics and prosthetics organizations. Fortune 50 companies trust the platform to support employee well-being, and a broad network of clinical partners keeps the company connected to real-world needs. Custom insoles are just the starting point. The long-term goal is to reshape the industry with bionic devices: AI-designed, robotically manufactured orthotic and prosthetic products. The company aims to reach this milestone by 2040. Learn more at bionics2040.com. With $22 million raised across Seed and Series A rounds from leading investors, Hike Medical offers a results-oriented culture for those interested in the intersection of AI, manufacturing, and healthcare.

Tavus – Multimodal AI Model OptimizationResearch EngineerAt Tavus, we are pioneering the human aspect of AI technology. Our objective is to make human-AI interactions as seamless and natural as in-person conversations, allowing for a human touch in areas that were once considered unscalable.We accomplish this through groundbreaking research in multimodal AI, focusing on human-to-human communication modeling (encompassing language, audio, and video) and the development of audio-visual avatar behaviors. Our innovative models drive applications ranging from text-to-video AI avatars to real-time conversational video experiences across sectors such as healthcare, recruitment, sales, and education.By empowering AI to perceive, listen, and engage with an authentic human-like presence, we are laying the groundwork for the next generation of AI workers, assistants, and companions.As a Series B company, we are supported by renowned investors, including Sequoia, Y Combinator, and Scale VC. Join us as we shape the future of human-AI interaction.The RoleWe are seeking an accomplished Research Scientist/Engineer with expertise in model optimization to be a vital part of our core AI team.The ideal candidate thrives in dynamic startup environments, is adept at setting priorities independently, and is open to making calculated decisions. We are moving swiftly and need individuals who can help navigate our path forward.Your MissionTransform state-of-the-art research models into fast, efficient, and production-ready systems through techniques such as sparsification, distillation, and quantization.Oversee the optimization lifecycle for critical models: establish metrics, conduct experiments, and evaluate trade-offs among latency, cost, and quality.Collaborate closely with researchers and engineers to convert innovative concepts into deployable solutions.RequirementsExtensive experience in deep learning with PyTorch.Practical experience in model optimization and compression, including knowledge distillation, pruning/sparsification, quantization, and mixed precision.Familiarity with efficient architectures such as low-rank adapters.Strong grasp of inference performance and GPU/accelerator fundamentals.Proficient in Python coding and adherence to best practices in research engineering.Experience with large models and datasets in cloud environments.Capability to read ML literature, reproduce results, and modify ideas accordingly.

Join VOLT, a trailblazer in crafting advanced AI perception systems that enhance safety and security through real-time risk detection in the physical world.We are on the lookout for a Senior Applied AI & Machine Learning Engineer dedicated to designing, optimizing, and deploying multimodal AI models capable of functioning reliably in diverse real-world scenarios. This is a hands-on role focused on transitioning models from conceptual data to practical production, encompassing both edge devices and cloud infrastructures.In this position, you will engage with vision, video, and language-based models that interpret real-world scenes and events, ensuring their accuracy, latency, robustness, and cost-effectiveness in production systems.Reporting directly to the Head of Engineering, you will play a pivotal role in advancing VOLT AI’s core perception platform.

Join worldlabs as a Research Engineer focused on scaling multimodal data. In this dynamic role, you will leverage cutting-edge technologies and methodologies to enhance data processing capabilities. You will be responsible for developing innovative solutions that integrate various data types and drive impactful research outcomes.

About TavusTavus is at the forefront of innovation in human computing. Our mission is to develop AI Humans: an advanced interface that bridges the gap between individuals and machines, eliminating the friction found in current technologies. Our state-of-the-art human simulation models empower machines to see, hear, respond, and even exhibit realistic appearances—facilitating genuine, face-to-face interactions. AI Humans integrate the emotional insight of humans with the scalability and dependability of machines, making them reliable agents accessible 24/7, in any language, on our terms.Imagine having access to an affordable therapist, a personal trainer that fits your schedule, or a team of medical assistants dedicated to providing personalized care for every patient. With Tavus, individuals, enterprises, and developers have the tools to create AI Humans that connect, comprehend, and act with empathy on a large scale.We are a Series A company supported by esteemed investors such as Sequoia Capital, Y Combinator, and Scale Venture Partners.Join us in shaping a future where machines and humans genuinely understand one another.The PositionWe are seeking an AI Researcher to join our core AI team and advance the frontiers of multimodal conversational intelligence. If you excel in dynamic environments, enjoy transforming abstract concepts into functional code, and derive motivation from pushing the boundaries of possibility, this role is designed for you.Your Responsibilities Engage in research focusing on Foundational Multimodal Models specifically in the realm of Conversational Avatars (such as Neural Avatars and Talking-Heads).Develop models for video, audio, and language sequences utilizing Autoregressive and Predictive Architectures (e.g., V-JEPA) and/or Diffusion methodologies, with a focus on temporal and sequential data rather than static images.Collaborate closely with the Applied ML team to implement your research into production systems.Remain at the forefront of multimodal learning and assist us in defining what “cutting edge” will mean in the future.Ideal Candidate ProfilePhD (or nearing completion) in a relevant field, or equivalent practical research experience.Experience in multimodal machine learning, particularly focused on conversational interfaces.

About Our Team:At OpenAI, we are dedicated to ensuring that artificial general intelligence (AGI) serves the greater good of humanity. Our API has emerged as the most widely embraced AI platform in the industry, catering to a diverse clientele ranging from startups and independent developers to Fortune 500 companies. By leveraging our multimodal APIs—which encompass real-time interactions, text-to-speech (TTS), speech generation, and image creation—we empower users to effectively harness the full spectrum of AI capabilities at scale.About the Role:We are on the lookout for an Engineering Manager to spearhead our multimodal API product suite. In this pivotal role, you will guide a talented team focused on delivering cutting-edge APIs for real-time processing, speech transcription, speech generation, and image creation. You will be instrumental in shaping the product roadmap and developing the tools that enable developers to connect with millions of end users through AI-driven audio, video, and imagery.In this role, you will:Lead, mentor, and cultivate a high-performing engineering team dedicated to multimodal API products, including our real-time API, Whisper transcription models, TTS speech generation models, and DALLE image generation APIs.Collaborate with product managers, designers, and various stakeholders to articulate the strategic vision and product roadmap.Work alongside our research teams to enhance our core multimodal models tailored for API customer use cases.Steer technical and architectural decisions with a focus on scalability, robustness, and user experience.Promote a culture of innovation, continuous improvement, and accountability within your team.Qualifications:Demonstrated experience in managing engineering teams that successfully deliver complex, high-quality products at scale.Strong technical expertise with proficiency in modern software engineering practices and system architecture.Exceptional collaboration and communication skills to effectively engage with diverse teams and stakeholders.Familiarity with or a strong passion for multimodal AI, encompassing speech technologies, real-time systems, and image generation.Adept at thriving in a fast-paced, dynamic startup environment.

Eventual Computing builds tools that help AI teams work with large, complex datasets. Based in San Francisco, the company supports projects in robotics, autonomous vehicles, and advanced video generation. Its open-source engine, Daft, is already in use at organizations with demanding data needs. The team focuses on making data curation and model training more efficient, so the right datasets are always within reach. The office is located in the Mission district, where collaboration with leading AI labs and infrastructure companies is part of daily work. Role overview The Research Engineer - Multimodal Data will join the Visual Understanding team. This position centers on building solutions to make vast amounts of video and sensor data accessible and easy to query. The work directly supports researchers who need to find and use specific datasets quickly. What you will do Develop and refine systems that process petabytes of multimodal data, including video and sensor streams. Apply vision-language models to improve how data is discovered and retrieved. Define and influence the roadmap for visual understanding features. Train models to streamline large-scale data annotation and improve efficiency for research teams.

Our MissionAt Altos Labs, we are dedicated to revitalizing cell health and resilience through innovative cell rejuvenation techniques to reverse disease, injury, and the disabilities that arise throughout life.Discover more about our vision at altoslabs.com.Our ValuesOur core value is simple yet powerful: Everyone Owns Achieving Our Inspiring Mission.Diversity at AltosWe understand that diverse perspectives are crucial for scientific breakthroughs and exploration. At Altos, exceptional scientists and industry leaders collaborate from around the globe to drive our shared mission forward. We prioritize a culture of belonging, ensuring that every employee feels valued for their unique contributions. We are all responsible for maintaining a diverse and inclusive workplace.Your Contributions to AltosJoin Altos Labs in creating a premier AI ecosystem aimed at addressing the most intricate challenges in human biology. You will be instrumental in designing and developing high-performance, scalable solutions that integrate high-dimensional biomedical imaging with molecular and linguistic data.Your role will involve implementing large-scale multimodal data fusion, advancing beyond basic image analysis to develop predictive models that span various biological domains. You will engage directly with data and coding, partnering with our engineering team to ensure these models are scalable, efficiently trainable in distributed cloud environments, and accessible to our global research network.Key ResponsibilitiesModel Development: Create, implement, and train large-scale foundational models (e.g., Vision Transformers, Multimodal LLMs) capable of embedding spatial data and integrating diverse modalities.Innovative Data Fusion: Apply cutting-edge cross-domain mapping and fusion techniques to align heterogeneous biological datasets.Scaling & Training: Develop and oversee high-performance ML pipelines designed to handle petabyte-scale image collections and multi-omics data streams in a cloud infrastructure.Technical Collaboration: Work closely with experimental scientists and software engineers to convert biological complexity into high-performance code and reliable distributed systems.Who You AreWe seek a technical expert who excels at unraveling "unsolvable" challenges through programming and meticulous experimentation. We welcome candidates at the Scientist I, Scientist II, or Senior Scientist levels.

About UsAt TwelveLabs, we are at the forefront of innovation, developing advanced multimodal foundation models that enable video comprehension akin to human understanding. Our groundbreaking models are revolutionizing video-language modeling, enhancing our capabilities and fundamentally changing media interaction and analysis.With a robust backing of $107 million from prestigious venture capital firms including NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, as well as renowned AI pioneers like Fei-Fei Li and Alexandr Wang, we are headquartered in San Francisco with a significant presence in the APAC region, particularly in Seoul. Our global operations reflect our dedication to fostering innovation worldwide.We celebrate the unique journeys of every individual, recognizing that our diverse cultural, educational, and life experiences empower us to challenge norms continuously. We seek passionate individuals who resonate with our mission and are eager to contribute to transformative advancements in technology. Join us in redefining video understanding and multimodal AI.Team OverviewThe Field Engineering team at TwelveLabs plays a crucial role in the effective deployment of our video understanding APIs for developers and enterprises. Acting as trusted advisors, we help our customers maximize the value derived from our multimodal models and products.Within this team, the Solutions group aims to accelerate the sales process for high-impact clients, collaborating closely with Sales to communicate technical value, design impactful proof-of-concepts, and illustrate how our platform addresses critical business challenges.Role OverviewWe are seeking a Solutions Engineer to facilitate the exploration and validation of the transformative potential of video AI among prospects. As a technical expert during the sales cycle, you will collaborate with Account Executives to assess opportunities, define use cases, create and implement proof-of-concepts, and showcase the business value of our multimodal foundation models.You will provide technical guidance throughout the sales process, working in tandem with Sales, Product, Partnerships, and Engineering teams.This role is designed for a self-motivated and innovative individual who thrives in a fast-paced, evolving landscape.This position is fully remote.

Join our innovative team and play a pivotal role in shaping the future of AI by crafting compelling narratives in the realm of document understanding.About the RoleWe are on the lookout for a technically proficient Machine Learning Engineer who excels at producing authentic and engaging technical content efficiently. Your extensive knowledge in document AI, coupled with strong writing skills, will be essential in creating benchmarks, publishing technical analyses, and solidifying our position as the foremost authority in document understanding.This role transcends traditional Developer Relations or Marketing. You will engage in coding, develop tangible benchmarks, conduct experiments, and swiftly translate your findings into high-quality published content, significantly accelerating awareness and adoption among developers creating the next generation of document-centric applications.ResponsibilitiesDesign, construct, and sustain extensive benchmarks for document parsing and understanding.Regularly publish high-quality technical content, including blog posts, benchmark reports, technical comparisons, and tutorials.Maintain an up-to-date understanding of the document AI landscape, including new models, research papers, competitors, and techniques.Execute experiments and translate findings into publishable content rapidly.Generate technical analyses showcasing our capabilities relative to alternatives.Contribute to open-source projects, examples, notebooks, and documentation.Collaborate closely with the core ML team to highlight significant improvements and capabilities.Engage genuinely with the developer community through technical content rather than conferences or events.Required QualificationsProven experience in software engineering, with a focus on ML engineering and research being an advantage.Solid foundation in software engineering principles and production-level experience with Python.Familiarity with modern ML techniques, particularly in computer vision, natural language processing, or multimodal learning.Ability to convey complex technical topics clearly, rapidly, and authentically through writing.A strong inclination towards delivering results quickly, comfortable publishing at a blog pace rather than an academic one.Adept at reading, comprehending, and synthesizing research papers efficiently.Proactive and self-motivated, capable of identifying significant topics to write about and executing projects end-to-end.

The Bot CompanyAt The Bot Company, we are on a mission to create an innovative robotic assistant for every household.Our dynamic team, composed of talented engineers, designers, and operators, is based in San Francisco. We have a rich background from industry leaders such as Tesla, Cruise, OpenAI, Google, and Pixar, and we have successfully delivered products to hundreds of millions of users, honing our ability to create exceptional products and experiences.We pride ourselves on maintaining a streamlined team structure that fosters swift decision-making and minimizes bureaucracy. Each member is considered an Individual Contributor, granted substantial autonomy, ownership, and accountability. Our culture enables us to work across the technology stack with an emphasis on rapid iteration and execution.What We Seek in CandidatesCandidates for all positions at The Bot Company must exhibit remarkable sharpness and the capacity to thrive in high-pressure environments. We expect candidates to showcase:Exceptional Cognitive Abilities: You possess quick thinking, instant learning capabilities, and the ability to reason across diverse domains.Engineering Curiosity: You demonstrate an innate desire to understand how systems function, even beyond your area of expertise.Performance-Driven Attitude: You excel in fast-paced settings, effectively navigate ambiguity, and thrive under demanding circumstances.Machine Learning: Multimodal Foundation ModelsWe are developing unified foundation models capable of reasoning across text, images, video, and kinematics to inform intelligent robotic behaviors.You will engage with large-scale multimodal networks, overseeing the complete process from data handling to model training and deployment.Your ResponsibilitiesConstruct Native Multimodal Policies: Create architectures where vision, language, and other modalities are represented in a unified manner.Enhance Cross-Modal Reasoning: Explore and implement strategies to ensure that the model not only correlates modalities but also comprehends them (e.g., linking visual physics to kinematic constraints).Manage the Training Loop from Start to Finish: Design, execute, troubleshoot, and refine large-scale training experiments; identify failure points, enhance data mixtures, and tighten evaluations to achieve measurable improvements.Deploy and Refine Real Systems: Integrate models into practical robotic frameworks, enhance robot code for model deployment, and optimize performance for edge inference.

About UsTavus is an innovative research lab at the forefront of human computing technology. Our mission is to create AI Humans—advanced interfaces that bridge the gap between individuals and machines, eliminating the friction found in current systems. Our real-time human simulation models empower machines to see, hear, respond, and appear realistic, facilitating genuine, face-to-face conversations. With AI Humans, we blend the emotional intelligence inherent in humans with the extensive reach and reliability of machines, enabling them to serve as capable and trusted agents available 24/7, capable of communicating in any language.Envision a therapist accessible to everyone, a personal trainer that tailors sessions to your schedule, or a fleet of medical assistants dedicated to providing personalized attention to every patient. Tavus enables individuals, enterprises, and developers to create AI Humans that connect, empathize, and act with understanding on a large scale.Backed by prestigious investors like Sequoia Capital, Y Combinator, and Scale Venture Partners, we are a Series A company ready to shape the future of human-machine interaction.Join us in transforming a future where humans and machines genuinely comprehend one another.The RoleWe are seeking a passionate AI Researcher to join our core AI team and advance the science of audio-visual avatar generation. If you thrive in dynamic startup environments, enjoy experimenting with generative models, and are excited to see your research translated into production, you will find a welcoming home here.Your Mission Conduct research and develop cutting-edge audio-visual generation models for conversational agents (e.g., Neural Avatars, Talking Heads).Focus on models that intricately align with conversation flows, ensuring seamless integration of verbal and non-verbal cues.Experiment with diffusion models (DDPMs, LDMs, etc.), long-video generation, and audio synthesis.Collaborate closely with the Applied ML team to transition your research into practical applications.Stay updated on the latest breakthroughs in multimodal generation and contribute to the evolution of this field.You Will Excel If You Have:A PhD (or nearing completion) in a relevant discipline, or equivalent hands-on research experience.Proficiency in applying image/video generation techniques and a solid understanding of machine learning principles.

Zyphra is a cutting-edge artificial intelligence firm located in the heart of San Francisco, California, dedicated to advancing technology across various modalities.About the Position:We are seeking a Data Engineer - Multimodal Systems to play a pivotal role in the enhancement and expansion of Zyphra's datasets and data pipelines. This position offers a unique opportunity to collaborate with diverse teams and contribute to innovative data solutions. You will engage in the collection of extensive datasets and the development and optimization of high-performance parallel data pipelines.Your Responsibilities Will Include:Executing large-scale data collection across multiple modalities, including text, audio, and image.Designing and implementing highly efficient, parallelized data processing pipelines that integrate various modalities.Conducting rigorous experimental ablations to evaluate the effectiveness of new data enhancements.Candidate Requirements:Proven ability in implementation and prototyping.Capability to transform ideas into experimental frameworks swiftly.Strong collaborative skills, thriving in a dynamic research environment.Eagerness to learn and apply new concepts effectively.Exceptional communication and teamwork skills, capable of contributing to both research and large-scale engineering projects.Preferred Qualifications:Experience in the collection, management, and processing of large datasets.Familiarity with parallel programming frameworks in Python, such as Dask.In-depth understanding of state-of-the-art dataset curation practices.A detail-oriented mindset with a passion for data integrity and verification.Strong foundation in experimental methodologies for conducting thorough ablation studies and hypothesis testing.Knowledge and interest in large-scale, highly parallel data processing systems.Proficiency in PyTorch and Python.Experience with large, complex codebases and the ability to quickly become productive within them.Published research in respected machine learning venues.Postgraduate degree in a relevant field is a plus.

The OpportunityAt Unity, we are searching for a talented Staff Software Engineer to join our dynamic Vector Ads team. In this role, you will be integral to building the advanced real-time systems that drive Unity's global advertising platform. This is a high-scale, low-latency environment, processing billions of requests each day to deliver swift and relevant advertisements to players worldwide.Your contributions will focus on developing core services that enhance our understanding of gamer behavior, working closely with our machine learning team to provide an optimized ad experience for millions of gamers. This position presents an exciting opportunity for engineers who thrive on performance-critical systems, enjoy cross-team collaboration, and are eager to advance their careers in a fast-paced environment.

About Fractional AIFractional AI specializes in creating tailored generative AI software that drives business transformation.In a landscape where every C-suite is striving to connect theoretical AI with real-world applications, we bridge that divide with top-tier engineering talent and bespoke AI solutions. Explore our case studies for further insights.We are a profitable company experiencing rapid growth, dedicated to tackling the most challenging issues in applied AI.About the RoleWe are on the hunt for a dynamic and exceptionally dependable generalist eager to contribute to building a groundbreaking company. You will spearhead special projects and initiate new strategies that will facilitate the scaling of Fractional AI.This is a fast-paced role in a hypergrowth environment, where each day brings new challenges. One week, you might engage in market research for potential acquisitions; the following week, you could be managing strategic partnerships with foundational model companies.This position involves a blend of strategy, execution, and daily problem-solving, with no existing playbook.

Join the Revolution at HarveyAt Harvey, we are pioneering a transformation in the legal and professional services industries, moving beyond mere incremental changes to redefine the entire landscape. By leveraging cutting-edge agentic AI, a robust enterprise platform, and extensive domain expertise, we are fundamentally altering the execution of critical knowledge work for decades to come.This is a unique opportunity to contribute to the foundation of a generational company at a pivotal moment in its evolution. With over 1,000 clients across more than 58 countries, a strong alignment between our product and market needs, and exceptional backing from esteemed investors, we are rapidly scaling and creating a new category in real time. The challenges are ambitious, expectations are high, and the potential for personal, professional, and financial growth is unparalleled.Our team is composed of sharp, driven individuals who are deeply aligned with our mission. We operate with agility, intensity, and a sense of ownership over the challenges we face—from initial concepts to long-term results. We maintain close relationships with our clients, collaborating across all levels—from leadership to engineering—to address real issues with urgency and care. If you excel in ambiguous situations, strive for excellence, and wish to shape the future of work alongside high-achieving peers, we invite you to join us in this exciting journey.At Harvey, we are writing the future of professional services today—and this is just the beginning.Role OverviewHarvey is at the forefront of reimagining legal work, and we are seeking an Engineering Manager to spearhead our initiatives. The Document Platform team is central to our operations—empowering our AI systems to interpret vast quantities of legal documents. Our technology encompasses everything from OCR to vector storage, necessitating systems that are rapid, precise, and scalable to meet the demands of the world’s leading law firms.In this role, you will lead a team of extraordinary engineers tasked with expanding our capabilities, pushing the limits of document understanding, and ensuring our infrastructure scales to meet user demands.We emphasize urgency, simplicity, and expect our leaders to be actively involved as necessary. If you are passionate about ownership, decisive execution, and tackling real user challenges, we would love to connect with you.

Join our innovative team at Braintrust as a Documentation Engineer. In this role, you will be responsible for creating, managing, and optimizing documentation for our cutting-edge technology solutions. You will work closely with cross-functional teams to ensure clarity and accuracy in all technical literature, enabling our users to leverage our products effectively.

Bland Inc. seeks a Machine Learning Researcher specializing in Multimodal Large Language Models (LLMs) to join the team in San Francisco. The focus is on advancing AI systems that integrate language with other types of data. Role overview This position centers on research and development aimed at improving how AI models process and understand information from multiple sources, such as text combined with images or other modalities. What you will do Investigate how language interacts with additional data types within multimodal LLMs Create and evaluate new methods to enhance AI model performance Work closely with colleagues on projects designed to push the boundaries of machine learning Location This role is based in San Francisco.

About HebbiaHebbia is an innovative AI platform designed specifically for investors and bankers, aimed at generating alpha and maximizing returns. Founded in 2020 by George Sivulka, and backed by prominent investors including Peter Thiel and Andreessen Horowitz, we empower investment decisions for industry leaders like BlackRock, KKR, Carlyle, and Centerview, managing over $30 trillion in global assets.Our flagship product, Matrix, is renowned for providing exceptional accuracy, speed, and transparency in AI-driven analysis, helping finance professionals gain a competitive edge. Our technology uncovers unseen signals, reveals hidden opportunities, and facilitates rapid decision-making, thus transforming capital deployment, risk management, and value creation across markets.Hebbia isn't just a tool; it's the competitive advantage that enhances performance and market leadership.The TeamThe Document Intelligence team at Hebbia is dedicated to developing state-of-the-art AI solutions that revolutionize how users interact with vast collections of private and public documents. Through our innovative Browse application, we enable intelligent document exploration, advanced search functionality, and profound insights extraction. Our commitment to continuous improvement means we work closely with our customers to address real-world challenges and foster impactful, data-driven decisions.The RoleAs a Platform Engineer at Hebbia, you will be at the forefront of building scalable systems that support billions of tokens across significant assets under management. Your role will involve deploying optimized systems and ensuring high-performance capabilities in our infrastructure.