Computational Theoretical Chemist III

Role overview Harvard University is hiring a High Performance Computing Engineer based in Boston. This position centers on the design, construction, and enhancement of high-performance computing (HPC) systems and infrastructure. The engineer will work closely with researchers and faculty, providing technical expertise to meet advanced computational requirements for scientific research projects. Supporting innovation and research through reliable and efficient HPC resources is a key focus of this role. Key responsibilities Design and build high-performance computing systems Improve and maintain HPC infrastructure Collaborate with faculty and researchers to address computational challenges Location This position is based in Boston.

Join Squarepoint Capital as a Quantitative Developer specializing in High Performance Computing with expertise in Python. In this pivotal role, you will contribute to the development and optimization of advanced quantitative models, leveraging your technical skills to enhance performance in a fast-paced environment. Your work will directly influence trading strategies and investment decisions, making a significant impact on the firm's success.

Are you eager to contribute to the clean energy revolution? Do you have a strong desire to enhance our planet for both present and future generations? Are you prepared to embrace new challenges and collaborate with an innovative team pioneering advancements in emerging markets? Join Nexamp!Here, you’ll have the opportunity to learn from industry leaders and become one yourself. We offer a dynamic, mission-driven work environment that pushes the boundaries of traditional practices. Be part of the team that is transforming the world.What we’re looking for:Nexamp is in search of an Electrical Performance Engineer who will serve as a key technical contributor, focused on enhancing the reliability, availability, and efficiency of our extensive portfolio of distributed and utility-scale solar photovoltaic (PV) and battery energy storage system (BESS) assets, which currently exceed 2 GW in management and construction. In this position, you will utilize advanced electrical engineering analysis to assess operating systems deployed in the field, executing root-cause failure analyses, diagnosing intricate and recurring issues across inverters, transformers, protection systems, controls, and balance-of-plant equipment. You’ll identify systemic risks, validate corrective measures, and drive data-driven recommendations aimed at minimizing downtime, preventing repeat failures, and extending asset longevity. Additionally, you will optimize control schemes and operational strategies, converting observed field behavior and performance data into enhanced settings, logic, and operational standards. Collaborating closely with Operations, Asset Management, Controls, and Original Equipment Manufacturers (OEMs), you will bridge the gap between design intent and actual performance to ensure the fleet operates safely and reliably, maximizing value throughout the project lifecycle.This is a hybrid role based in our Lawrence, MA, or Boston, MA office and will report to the Director of Performance Engineering.

Join Motional's cutting-edge team at our global headquarters located at 100 Northern Avenue in Boston, MA. Situated in the lively Seaport district, our office boasts stunning views of Boston Harbor and is conveniently close to major transit lines, a variety of restaurants, and popular attractions.Mission Overview:At Motional, our CORE team is at the forefront of developing our vehicle's Compute and Onboard Runtime Environment. We are dedicated to creating a leading AI compute platform for autonomous vehicles, executing the software and neural networks crucial for vehicle autonomy.The Next-Gen Technologies team, a key part of CORE, operates at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to advance Motional's onboard vehicle architecture. If you are a passionate software engineer excited about embedded AI hardware and software systems, we would love to connect with you!Your Role:As a Senior Engineer on the Next-Gen Technologies team, you will play a vital role in enhancing the compute performance of our autonomous driving systems, contributing to the entire development lifecycle from ideation to proofs-of-concept to production.Your Responsibilities:Specialize in ML model deployment, integration of multiple ML models, and optimization on embedded compute platforms.Deep dive into the complete ML software stack, analyzing workload performance across various hardware processors, optimizing ML models, and enhancing ML software to continuously improve our stack with efficient approaches.Design, develop, test, integrate, and optimize software tools on diverse ML compute architectures.Collaborate with experts in perception, prediction, and other autonomous driving areas to enable algorithms on GPU, NPU, and other ML accelerator architectures.Optimize GPU/NPU resource utilization and manage sharing across multiple programs on the same system.Lead design initiatives to assess system needs and enhance our ML software stack accordingly.Provide technical guidance to peers and management.

About Merlin Labs: Merlin Labs is a pioneering aerospace startup, supported by venture capital, which is dedicated to developing non-human pilots to facilitate both reduced crew and uncrewed aviation. With the backing of some of the world's foremost investors, Merlin Labs is rapidly expanding, working closely with clients to harness autonomy and tackle some of the most significant challenges in aviation today.About You: You are a passionate computer vision engineer with a knack for transforming raw sensor data into valuable insights. You excel at the intersection of algorithms, hardware, and real-world implementation, designing systems that can perceive, comprehend, and engage with the physical environment. Your expertise spans high-level model development to low-level camera calibration, and you take pride in creating resilient solutions that consistently perform outside the confines of the laboratory.

About Us: Axiomatic AI is pioneering a new generation of AI systems that embody the principles of the scientific method. By merging deep learning with formal logic and physics-based modeling, we are creating verifiable and interpretable AI systems that enhance and support human researchers in critical scientific and engineering tasks. Our ambitious mission, 30×30, aims to achieve a 30-fold improvement in the speed, accessibility, and cost-effectiveness of semiconductor and photonic hardware development by the year 2030. We are set to transform hardware design and simulation across these sectors, assembling a team of passionate professionals dedicated to translating innovative research into commercial products. Position Overview: As a Research Software Engineer with a focus on scientific computing systems, you will be responsible for constructing and scaling the computational foundation of our scientific tools. This includes accelerating simulation and optimization workloads, facilitating robust distributed execution, and ensuring correctness and reproducibility across numerical pipelines. You will collaborate closely with a diverse team comprising AI Engineers, Software Engineers, Mathematicians, and Physicists to develop tools that revolutionize how engineers and scientists leverage AI in their daily operations. Your Mission: Scalable Scientific Computing: Develop high-performance, reliable systems for simulation, inference, optimization, and uncertainty quantification workflows, particularly in the realms of electromagnetic simulation and inverse design. Performance Optimization: Analyze and enhance performance throughout end-to-end pipelines (CPU/GPU). Distributed Execution & HPC: Design and sustain distributed computing infrastructure for extensive sweeps and multiple experimental runs (multi-GPU/multi-node), emphasizing reproducibility, observability, and developer usability. Verification & QA: Establish rigorous testing and verification protocols for scientific computing pipelines (numerical regression, invariants, convergence tests, golden datasets), ensuring reliable results over time.

Join Motional as a Senior Software Engineer focused on enhancing the performance metrics of autonomous vehicles. In this pivotal role, you will leverage your expertise to improve vehicle performance and optimize metrics that ensure safety and efficiency in autonomous driving.

About AbiologicsAbiologics is a pioneering company under Flagship Pioneering, dedicated to innovating in the field of synthetic biology through the development of Synteins™—a revolutionary category of fully synthetic proteins crafted from entirely artificial building blocks, including D-amino acids and non-canonical residues. Synteins are engineered to overcome the constraints of conventional biologics, offering enhanced oral stability, immune evasion, and metabolic durability, all while being fully programmable by design.Utilizing a cutting-edge AI-enabled discovery platform, Abiologics merges generative design, automated synthesis, and rapid experimental screening to facilitate iterative optimization at scale.

About AbiologicsAbiologics is a pioneering biotechnology company at the forefront of developing Synteins™—a revolutionary class of fully synthetic proteins crafted from artificial building blocks like D-amino acids and non-canonical residues. Our Synteins are engineered to overcome the limitations of traditional biologics, offering enhanced oral stability, immune evasion, and metabolic durability—all while being fully programmable by design.Utilizing an advanced AI-enabled discovery platform, Abiologics seamlessly integrates generative design, automated synthesis, and rapid experimental screening to facilitate large-scale iterative optimization.Position SummaryWe are on the lookout for a talented Protein Design Scientist to become a key member of our Computational Protein Design team. In this interdisciplinary role, you will spearhead structure-based design and optimization of synthetic proteins, operating at the intersection of computational design, structural biology, and protein engineering.

About Us: Axiomatic AI is pioneering a new generation of AI systems that apply the scientific method rigorously. By integrating deep learning with formal logic and physics-based modeling, we develop verifiable and interpretable AI systems that enhance and assist human researchers within critical scientific and engineering processes. Our Mission, 30×30: We are committed to achieving a 30× enhancement in the speed, accessibility, and affordability of semiconductor and photonic hardware development by the year 2030. We envision transforming hardware design and simulation across these sectors and are assembling a team of passionate professionals to translate these advancements from research into commercial products. Position Overview: As an AI Research Scientist specializing in photonic and neuromorphic computing, you will be instrumental in crafting AI algorithms and architectures, as well as simulation and optimization frameworks tailored for innovative, non-traditional computing platforms. You will help develop algorithms, digital twins, and training methods that connect AI, physics, and hardware-aware system design within Axiomatic's next-generation computational science tools. This position is part of Axiomatic's long-term research and product strategy, involving collaboration across various projects and initiatives, and working closely with AI researchers, physicists, and software engineers to translate cutting-edge concepts into scalable, impactful solutions. Your Mission: Simulation and Digital Twins: Create simulation and digital-twin tools that effectively model physical effects such as nonlinearities, noise, and precision limits, facilitating hardware-aware algorithm development. Co-Design and Collaboration: Collaborate with internal AI, software, and hardware teams to ensure cohesive alignment between algorithms, system constraints, and overarching platform objectives, including the automation of scientific workflows. Algorithm and System Design: Architect and prototype machine-learning frameworks and physics-aware optimization workflows for neuromorphic systems, examining efficient mappings of AI models onto emerging hardware substrates. Research, Benchmarking, and Reporting: Assess system-level performance trade-offs, conduct benchmarking studies, document findings, and contribute to technical decision-making across Axiomatic’s R&D portfolio.

Join our dynamic team at StemXpert1 as a Performance Tester, where you will be responsible for ensuring the quality and performance of our software applications. You will work closely with our development team to identify and resolve performance bottlenecks, conduct thorough testing, and provide valuable insights to enhance our products. If you have a passion for technology and a keen eye for detail, we want to hear from you!

About Merlin Labs: Merlin Labs is an innovative aerospace startup that is revolutionizing the aviation industry with its cutting-edge non-human piloting technology. With strong backing from top-tier investors, we are on a mission to empower both crewed and uncrewed flight, tackling some of the most pressing challenges in aviation through the power of autonomy.Your Role: As the Compute Platform Lead, you will play a pivotal role in shaping the future of autonomous flight by ensuring our compute platforms deliver unmatched reliability, real-time performance, and scalability. You will design and oversee platforms that support complex, mission-critical systems, including cloud machine learning training, high-fidelity simulation, and embedded environments.Your Expertise: We are looking for a seasoned platform engineer who not only maintains infrastructure but innovates it. You will serve as a technical authority, collaborating closely with teams in autonomy, perception, controls, and flight software to create a robust compute foundation that accelerates development while ensuring safety and scalability.Your Impact: In this role, your designs will have a direct influence on real-world performance outcomes. You will balance long-term technical vision with hands-on involvement in addressing the most intricate systems challenges.

Role overview The High School Academy Leader at Uncommon Schools in Boston guides both academic and operational activities within the high school. This position involves close collaboration with staff, students, and the broader community to foster a positive school culture and encourage educational achievement. What you will do Oversee daily academic programs and school operations Promote a high standard of teaching and learning for all students Build and maintain strong relationships with students, staff, and families Support a positive and inclusive learning environment What sets Uncommon Schools apart Uncommon Schools focuses on delivering high-quality education and preparing students for leadership roles in the future. The organization emphasizes strong community connections and a commitment to educational excellence.

Join the Uncommon Schools team as a passionate High School Mathematics Teacher! We are seeking an enthusiastic educator dedicated to inspiring students and promoting a love for mathematics. In this role, you will create engaging lesson plans, utilize innovative teaching strategies, and support students in their academic journey. Your impact will help shape the minds of the next generation and foster a positive learning environment.

Are you passionate about teaching and inspiring high school students? Uncommon Schools is seeking a dedicated and enthusiastic High School Spanish Teacher to join our team in Boston. In this role, you will have the opportunity to foster a love for the Spanish language and culture while encouraging academic excellence in a supportive environment.

Role overview Uncommon Schools is hiring a full-time High School Teacher for grades 5-12 in Boston. The position centers on supporting students during important academic years, fostering their growth in an environment that values inclusion and curiosity. What you will do Establish and maintain a classroom where students feel welcomed and motivated to participate. Apply a range of teaching approaches to help students strengthen critical thinking skills and develop a deeper interest in learning. Collaborate with fellow educators to exchange ideas and contribute to a community focused on student achievement. Team culture Uncommon Schools brings together educators who share a commitment to student success. Collaboration and a shared sense of purpose shape the daily experience here.

Join our dynamic educational team as a High School History Teacher at Uncommon Schools in Boston! We are committed to fostering a passionate learning environment where students can thrive. As a member of our faculty, you will inspire students by delivering engaging lessons, utilizing innovative teaching methods, and encouraging critical thinking about historical events and their relevance today.In this role, you will create an inclusive classroom atmosphere that nurtures curiosity and promotes academic excellence. You will collaborate with fellow educators to design curricula that meet diverse learning needs and contribute to the overall development of our students.

Join our passionate team at Uncommon Schools as a dedicated High School Science Teacher! In this vibrant educational environment, you will inspire students to explore the wonders of science through engaging lessons and hands-on activities. Our commitment to academic excellence enables our students to thrive and achieve their fullest potential.As a High School Science Teacher, you will have the opportunity to develop innovative curricula, assess student progress, and foster a love for learning in your classroom. We are looking for educators who possess a strong understanding of science content and are excited to contribute to a collaborative teaching community.

Inductive Bio is a pioneering AI medicinal chemistry partner dedicated to revolutionizing drug discovery. We create innovative virtual labs that empower drug discovery teams to make informed decisions more efficiently throughout the entire DMTA cycle. Our advanced platform features Beacon-1 ADMET prediction models, human dose projection tools, and Indy, an AI-driven medicinal chemistry assistant. In collaboration with Enamine, we provide library synthesis and direct-to-dose testing, seamlessly bridging the gap between computational design and experimental validation. Together, we fuel numerous small molecule and beyond-rule-of-five initiatives for our biotech and pharmaceutical partners.Beacon-1 has consistently excelled, securing 1st place in both the 2025 Polaris and 2026 OpenADMET-ExpansionRx blind competitions, surpassing industry giants like Merck & Co and NVIDIA, as well as EMD Serono. Our efforts have garnered $30M in funding from notable investors such as Obvious Ventures, a16z Bio + Health, and Lux Capital, in addition to being awarded $21M from the ARPA-H CATALYST program to advance next-generation toxicity models.The RoleWe are in search of an experienced computational or medicinal chemist to join our dynamic Product Science team as a Product Scientist. In this pivotal role, you will be the primary scientific liaison for partner projects, leveraging your expertise in medicinal chemistry, computational chemistry, and DMPK to tackle complex molecular optimization challenges with an emphasis on dose-centric solutions. You will engage with a diverse array of small molecule modalities, therapeutic areas, and modeling obstacles.As a thought leader in the evolution of Inductive's platform, you will contribute to the enhancement of our predictive models and dose projection tools, as well as Indy, our AI medicinal chemistry assistant, drawing from your own experiences and insights gained from real-world partner programs. We seek an individual whose instincts regarding small molecule optimization are honed through extensive hands-on experience, and who is eager to utilize these instincts to shape products that empower drug discovery teams.Your Responsibilities:Partner-Facing ScienceCultivate and manage the scientific relationships with partner project teams across various modalities, including reversible and covalent small molecules, macrocycles, molecular glues, and heterobifunctionals.Organize and clarify complex program data. Analyze structure-activity relationships (SAR), discern the insights provided by the data, and proactively address inconsistencies before they lead to detrimental decisions.Steer medicinal chemistry strategies: determine what to synthesize, what to test, how to prioritize compounds for further development, and where to allocate synthetic resources. Identify potential liabilities early in the process and assist partners in constructing risk mitigation plans.