Compute Engineering Lead

About the Role:As the Compute Engineering Lead, you will address one of our most significant challenges: enhancing performance. Our users appreciate Hex's robust platform for complex data applications, yet they seek faster execution. You will spearhead initiatives to refine our compute architecture while preserving the flexibility and power that distinguishes Hex.Leading a team of experts, you will guide our performance investments, solidify our foundational architecture, and strive towards an ambitious vision where performance becomes a competitive edge in the market.What You Will Do:Design and implement an architecture tailored for multimodal workflows, ensuring it retains the beloved features of Hex while optimizing performance across diverse data scales.Identify and analyze performance bottlenecks in detail, leading the team to consistently achieve measurable enhancements.Establish data-driven metrics to set performance targets and track progress.Deliver significant projects incrementally with seamless customer rollouts, maintaining high execution standards.Create appropriate abstraction layers that empower teams to tackle performance issues effectively with clear guarantees.Integrate compute initiatives with cross-team plans to amplify the impact of new product development.Collaborate with field teams to leverage our unique architecture as a competitive advantage.Inspire confidence across the organization in our compute strategy and clearly communicate its importance.

Normal Computing creates core software and hardware for the semiconductor industry, AI infrastructure, and other critical systems. The team operates in New York City, San Francisco, Copenhagen, Seoul, and London. Role overview The Silicon Research Engineering Lead will focus on pushing the boundaries of computing hardware and exploring the physical limits of computation. This role aims to unlock new levels of performance and efficiency that go beyond conventional architectures. Key responsibilities Guide early-stage concepts through research, evaluating which ideas are ready for production and which should change direction or pause. Stay informed about new silicon technology developments and bring in advances that align with Normal Computing’s strategy. Deliver designs that are well-characterized, feasible, and support company objectives, without direct involvement in SoC architecture or tapeout. Lead and mentor the silicon research team, collaborating with experts in device physics, analog circuits, and emerging computing architectures. Manage and grow partnerships with research collaborators, directing joint projects and maintaining effective relationships. Work closely with the silicon implementation team to connect research with practical development. Requirements Background in mathematics or physics and a strong research orientation. Extensive experience with non-traditional compute domains, such as analog, photonic, or neuromorphic technologies. Proven ability to move unconventional ideas toward practical, real-world use. Location This position is based in New York City.

Role Overview Sigma Computing is building the next generation of data interaction. The platform lets users explore billions of data rows in seconds, work with data in a familiar spreadsheet-like interface, and build visualizations, applications, and workflows. Sigma is now expanding these capabilities with AI to help users create, discover insights, and make decisions faster. The Senior AI/ML Engineer will join a team focused on developing the AI infrastructure that shapes Sigma’s future. Work here directly impacts how enterprises use Sigma in their daily operations. Location This position is based in New York City, NY.

Join Normal Computing – Where Innovation Meets OpportunityThe Normal team is at the forefront of building foundational software and hardware solutions that propel technology forward, serving critical sectors such as the semiconductor industry and AI infrastructure. Our collaborative efforts span across major cities including New York, San Francisco, Copenhagen, Seoul, and London.Your Contribution to Our Vision:As a Software Engineer specializing in backend product engineering within Normal EDA, your primary responsibility will be developing systems and workflows that empower hardware engineers in the creation and verification of chips vital to modern AI technologies. Experience in the semiconductor or hardware sectors is advantageous but not mandatory.In this role, you will encounter complex technical challenges at the convergence of AI and product engineering. You will be tasked with designing solutions and implementing incremental improvements to deliver new features effectively. You will take ownership of APIs and schemas that are crucial for core product functionalities, collaborating closely with fellow engineers to enhance these systems.We are seeking engineers who are enthusiastic about tackling real-world challenges in intricate technical domains and creating systems that enable users to maximize their productivity. If you are driven to design reliable, high-performance systems and craft intuitive user experiences for AI-driven workflows, this position offers a unique opportunity to make a significant impact in the industry.

Role Overview Sigma Computing builds a high-performance platform that integrates with modern data architectures. As the team grows in New York City, the company seeks a Senior Fullstack Software Engineer who enjoys solving complex technical problems and shaping features that make data accessible for a wide range of users. The engineering group values collaboration and a shared mission to improve how organizations use data. What You Will Do Work on challenging problems to deliver an interactive, high-performance analytics experience on top of modern data warehouses. Develop software using tools and languages such as Rust, Go, GraphQL, TypeScript, and Slate. Create new algorithms and techniques to improve performance and interactivity for analytics and workflow solutions, supporting some of the largest enterprises. Diagnose and resolve product or system issues by analyzing, tracking, and debugging problems. Design and implement new features to meet the needs of a growing user base. Collaborate with teams across infrastructure, design, product management, customer support, sales, and marketing to build new product capabilities.

Role Overview Sigma Computing is growing quickly, and the Technical Support Engineering team is scaling to meet the needs of a larger global user base. This team recently earned the 2024 Stevie Gold Award for Customer Service. As a Technical Support Engineer based in New York City, the work centers on helping customers solve technical, business, and data challenges using the Sigma platform. The role involves close collaboration with Product, Engineering, and Go-to-Market teams to troubleshoot complex issues, deliver solutions, and improve both the product and support experience. What You Will Do Work directly with Sigma customers and pre-sales staff to identify and resolve complex technical problems. Partner with the development team to define best practices and build tools for diagnosing issues and improving service performance. Coordinate with teams across backend, frontend, DevOps, design, product management, and marketing to support a strong user experience. Join quarterly projects, provide periodic on-call support, and take on assignments that focus on automation and process improvements.

At OXMAN, we are revolutionizing the intersection of design, technology, and biology to create innovative products and environments on multiple scales. Our unique approach transcends traditional boundaries, allowing design to inform scientific inquiry and vice versa. In a world where human-centric design has often distanced us from the natural environment, we advocate for a Nature-centric philosophy. This perspective not only seeks to mend the rift caused by design but also harnesses its potential to create harmonious solutions that benefit both humanity and nature. By emphasizing interconnectedness and designing for systems-level impact, we aim to transcend basic maintenance and instead foster the advancement of the natural world.Key ResponsibilitiesConceptualization and Research: Conduct comprehensive research to identify key behaviors and interactions within ecosystems to develop a robust conceptual framework for ecosystem modeling.Ecosystem Dynamics Modeling: Lead the modeling efforts to simulate core ecosystem dynamics and interactions identified during the conceptualization phase, including aspects such as plant growth and succession.Quantitative Metrics Development: Create quantitative metrics to evaluate ecosystem health, stability, and the services they provide.Implementation and Documentation: Implement models within an efficient computational framework, ensuring thorough documentation for usability and reproducibility.Data Integration: Assist in the collection and integration of environmental, ecological, and spatial data to support model parameters and validate outcomes.Data Analysis: Perform data analysis to extract crucial insights for the development and validation of ecosystem models.Technical Documentation: Prepare detailed documentation outlining model assumptions, data sources, code structure, and operational guidelines for model usage and maintenance.Collaborative Communication: Maintain ongoing communication with the OXMAN team to facilitate research review, implementation, and integration within their workflows.Participate in regular progress meetings (weekly or biweekly) to discuss ongoing projects and updates.

Join Normal Computing - Pioneering the Future of TechnologyAt Normal Computing, we are at the forefront of technological innovation, developing essential software and hardware solutions that propel the semiconductor industry, AI infrastructure, and the systems that sustain our world. Our collaborative team spans across major cities such as New York, San Francisco, Copenhagen, Seoul, and London.Your Impact:As a Hardware Engineer specializing in Design Verification, you will play a crucial role in our Verification AI team. This position blends verification expertise with product shaping, enabling you to validate internal hardware, specifically Physics-inspired ASICs, while optimizing the data generated by our AI. You will be instrumental in connecting raw verification data to our Machine Learning models, ensuring our AI benefits from high-quality, curated data.

About the Role Sigma Computing builds a high-performance platform designed for modern data architecture. As the team grows in New York City, the company is looking for engineers who enjoy solving complex problems and want to help make data accessible to everyone. The engineering group values collaboration and a focus on delivering solutions that matter across the technology stack. What You Will Do Take on challenging problems to create interactive experiences for data exploration and analysis within data warehouses. Work with technologies including Rust, Go, GraphQL, Node, and Kubernetes. Build backend distributed services, develop algorithms, and design APIs that power Sigma Computing's cloud applications. Investigate and resolve product or system issues by diagnosing root causes and debugging as needed. Design and implement new features to support a rapidly expanding user base. Participate in design and code reviews with peers and stakeholders to maintain high engineering standards and best practices.

Join Normal Computing for Incredible Opportunities!At Normal Computing, we are passionate about building the software and hardware that drive technological innovation. Our efforts support the semiconductor industry, critical AI infrastructure, and the extensive systems that empower our world. With teams spread across New York, San Francisco, Copenhagen, Seoul, and London, we collaborate as one unified team.Your Role in Our Mission:We are seeking a talented AI Research Engineer to pioneer advancements in agentic LLMs and reinforcement learning for our innovative code generation tool, Nectar. In this role, you will design and conduct experiments, develop agents, curate datasets from intricate technical documents, and establish rigorous evaluation methods. You will write production-level research code and work closely with engineering teams to deliver enhancements to our clients. While leadership experience is not a prerequisite, your research and development impact will be significant.Key Responsibilities:Design and implement multi-agent and reinforcement learning strategies for agentic code generation and tool usage.Develop research prototypes that integrate with Nectar; collaborate to transition successful prototypes into production.Create comprehensive evaluation frameworks, including task specifications, pass/fail criteria, coverage metrics, and dashboards for cost and latency.Gather and curate datasets from a variety of sources, including PDFs, logs, and tables; generate synthetic data where necessary, and maintain data documentation and licensing.Conduct disciplined analyses of experiments through systematic ablations; document findings and decisions.Keep abreast of recent developments in LLM agents, reinforcement learning (both offline and online, including RLHF/RLAIF), constrained decoding, and program synthesis.Qualifications:PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent research experience), with publications preferably in multi-agent reinforcement learning, agentic AI, or reinforcement learning for language and code.Proficient in Python and machine learning frameworks, with a preference for PyTorch; experience with JAX or Hugging Face is a plus.Proven track record of translating research into functional systems; a strong emphasis on reproducibility (tests, seeds, configurations, logging).Experience in designing evaluation harnesses and success metrics for sequential and agentic tasks.Adept at data acquisition and curation from various document types; possess strong instincts regarding data quality and licensing.Bonus Qualifications:Research experience in program synthesis, code generation, constrained decoding, or execution-based rewards.

Join arch.co as a Lead Infrastructure Engineer, where you will play a pivotal role in designing, implementing, and maintaining our cutting-edge infrastructure systems. Collaborate with cross-functional teams to ensure robust architecture and performance optimization, while mentoring junior engineers and providing technical leadership.

The City of New York is seeking a dedicated and detail-oriented Computer Associate for our Operations team. This role is crucial in ensuring the smooth functioning of our computer systems and supporting various operational needs across departments.

As a Lead Design Engineer at Braze, you will play a pivotal role in shaping and executing innovative design solutions that enhance our product offerings. You will collaborate with cross-functional teams to deliver top-notch designs that align with our strategic vision. Your expertise will guide the design process, ensuring that our products not only meet client needs but also set industry standards.

Role overview The City of New York seeks a Computer Systems Manager to oversee and maintain IT systems and infrastructure. This role ensures that technology supports city operations efficiently and securely, with a focus on reliability and protection of information. Key responsibilities Direct the management and ongoing improvement of IT systems and infrastructure. Collaborate with departments to align technology with organizational goals. Supervise daily operations to keep systems secure and dependable. Oversee multiple projects, managing priorities and meeting deadlines. Troubleshoot and resolve issues to enhance system performance. Requirements Background in managing computer systems and IT infrastructure. Demonstrated leadership and strong organizational abilities. Experience coordinating with various teams and stakeholders. Skilled at problem-solving and managing several projects at once. Location This position is based in New York City.

Role overview Smith Engineering is seeking a Director of Design Engineering to lead its design team in New York City. This leader will oversee the development of engineering solutions that meet client requirements and comply with industry standards. The role involves shaping project direction and supporting the growth of a skilled group of engineers. What you will do Guide and manage the design engineering team Drive the creation of efficient, high-quality engineering designs Ensure all work aligns with client needs and industry standards Mentor and develop engineering talent within the team Influence the direction of engineering projects at Smith Engineering

Our PurposeAt Reflection AI, our vision is to develop open superintelligence that is accessible to everyone.We are pioneering the creation of open weight models tailored for individuals, organizations, and even nations. Our team comprises AI innovators and entrepreneurs hailing from esteemed institutions such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic, and more.Position SummaryWe are in search of a remarkable technical leader to spearhead and expand our Forward Deployed Engineering team within the Applied AI department. This pivotal team is dedicated to connecting our groundbreaking AI research with practical applications in the enterprise sector. As a pioneering Forward Deployed Engineer, you will oversee the comprehensive technical strategy, implementation, and delivery of intricate agent-based applications, guiding them from initial pre-sales exploration to full production deployment.Key ResponsibilitiesCollaborate with Deployment Strategists and Sales teams to comprehend enterprise client requirements, design innovative solutions, and create transformative agentic applications.Design and construct complex agentic systems utilizing state-of-the-art models, orchestrating advanced LLM workflows and integrating seamlessly with enterprise infrastructures.Work alongside research teams to customize and refine models tailored to client-specific needs, contributing to our internal codebase for inference, fine-tuning, and evaluation.Oversee end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), ensuring production-level scalability, performance, and reliability.Shape and expand the Forward Deployed Engineering organization by establishing playbooks, best practices, technical standards, and mentoring to facilitate team development.Desired QualificationsRobust software engineering background with a proven history of delivering production-grade systems (Python, TypeScript).Demonstrated experience in deploying enterprise software within cloud or hybrid environments employing modern DevOps methodologies (Docker, Kubernetes, CI/CD).In-depth knowledge of machine learning principles and practical experience with contemporary AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.A minimum of 6 years of software engineering experience, with at least 2 years in a technical leadership role delivering AI-driven enterprise solutions.

About the Role Smith Engineering is hiring a Director of Energy Engineering to guide the energy solutions team in New York City. This senior leader will shape project direction and help set the strategy for energy initiatives across our portfolio. What You Will Do Lead a team focused on delivering energy engineering projects Develop and implement strategies that strengthen our energy solutions Oversee project execution and ensure alignment with company goals What We’re Looking For Extensive experience in energy engineering Proven leadership and team management skills Ability to drive strategic initiatives in a technical environment This position is based in New York City.

At ASAPP, we have a clear mission: to provide the most advanced AI-driven customer experiences faster than anyone else. Our approach is guided by core principles that dictate our thinking, development, and execution. We prioritize an unwavering commitment to customer satisfaction, purposeful speed, ownership, and a relentless focus on achieving results. We operate in agile, highly skilled teams, emphasizing clarity over complexity, and we continually adapt through curiosity, data, and craftsmanship.We are on the lookout for innovative technologists and adept problem solvers who thrive in dynamic environments, enjoy collaboration with talented individuals, and treat every day as an opportunity for growth. Our globally diverse team, with locations in New York City, Mountain View, Latin America, and India, embraces both hybrid and remote working models to gather the best minds, regardless of their location. If you are motivated by continuous learning, quick adaptations, and the excitement of building within a rapidly growing startup, we want to hear from you. This isn't just a job; it’s a journey.As a Lead Customer Engineer at the L3/L4 level, you will spearhead AI transformations, implementing GenerativeAgent solutions for some of the world’s most prestigious brands. Our top Customer Engineers are tenacious problem-solvers who harness the power of GenerativeAI to deliver impactful results.You will take charge of the AI agent development process during customer onboarding, collaborating with junior engineers to achieve outstanding results. This role is perfect for someone who is eager to tackle intricate business challenges, create exceptional AI solutions, and scale them for millions of users. You will closely engage with strategic clients as their AI advisor, adopting a “do what it takes” mindset to maximize their benefits from GenerativeAgent.Your collaboration will span across all teams: Go-To-Market, Engineering, Product, and leadership, positioning you as a vital source of customer insights that influence our product roadmap.

Nagarro is hiring a Senior Staff Engineer to lead AI-focused initiatives in New York City. This position centers on steering teams as they design and deliver advanced artificial intelligence solutions. Role overview This role involves taking charge of major AI projects, shaping technical direction, and ensuring high standards throughout the development process. The Senior Staff Engineer will help teams translate complex requirements into practical, AI-powered products that strengthen Nagarro's portfolio. What you will do Guide and mentor engineering teams working on artificial intelligence projects Drive the development of new AI solutions to improve existing offerings Oversee project execution from concept through deployment Requirements Extensive experience in artificial intelligence engineering Strong leadership skills in technical team settings Ability to manage and deliver complex AI-driven projects

About SandbarSandbar is a pioneering interface company based in New York City, dedicated to enhancing individual autonomy in an agentic world. Our team comprises experts who have developed cutting-edge software, machine learning, and hardware products at renowned companies like Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.Our flagship product, Stream, represents a revolutionary human-agent interface—a private voice ring and conversational computer. This innovative product has received accolades in major publications such as the Wall Street Journal, Bloomberg, and Wired, with shipping scheduled for Summer '26.Join us in redefining self-augmentation through advanced interfaces.