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Director Computational Geometry Developer Jobs in New York

HNTB

Architecture Design Technology Manager

New York, NY

$87K - $117K/yr

... geometry modeling, environmental analysis, and others as determined by Design Technology team ... Knowledge in computational design, visual scripting or programming * Knowledge of the Newforma ...

PhysicsX

Principal CFD Engineer

Manhattan, NY · On-site

$100 - $130/hr

  • Retirement

  • PTO

... models from geometry clean‑up and meshing, to simulating and post‑processing complex ... Leveraging data sampling techniques to efficiently capture the design space, reduce computational ...

Jj

Director, Strategy & Operations DSDH

New Brunswick, NJ · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This Director is responsible for shaping and delivering a clear internal strategy narrative for ... PhD a plus) in Life Sciences, Computational Biology, Data Science, Engineering, Business, or ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

  • Retirement

  • PTO

... geometry-aware modelling; you select the right libraries, frameworks and tools. Working at the ... Experience in ML/Computational statistics/Modelling use-cases in industrial settings (for example ...

PhysicsX

Principal CFD Engineer

New York, NY · On-site

  • Retirement

  • PTO

Independently building and/or guiding others to develop complex multi-physics models from geometry ... Leveraging data sampling techniques to efficiently capture the design space, reduce computational ...

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Showing results 41-60

All JobsComputational Geometry Developer JobsDirector Computational Geometry Developer JobsDirector Computational Geometry Developer Jobs in New York

Director Computational Geometry Developer information

What are some common challenges faced by a director computational geometry developer, and how can they be effectively addressed?

A Director Computational Geometry Developer often contends with complex algorithmic problems, ensuring scalability and efficiency while balancing project timelines. Collaboration across multidisciplinary teams—such as software engineers, mathematicians, and product managers—can also present communication challenges, especially when translating technical concepts into actionable plans. Staying updated with the latest research and integrating new developments into existing workflows is essential for maintaining a competitive edge. Proactively fostering a culture of knowledge-sharing and using agile methodologies can help streamline problem-solving and innovation in this role.

What are the key skills and qualifications needed to thrive as a director computational geometry developer, and why are they important?

To thrive as a Director Computational Geometry Developer, you need advanced knowledge of computational geometry, strong programming skills (often in C++, Python, or Java), and experience leading software development teams, typically supported by a relevant advanced degree. Familiarity with geometric modeling libraries, CAD systems, and version control tools is commonly required, along with project management methodologies. Exceptional problem-solving, leadership, and communication skills help drive innovation and coordinate complex projects across multidisciplinary teams. These skills and qualities are critical to ensure the successful delivery of robust geometry solutions, effective team management, and alignment with organizational goals.

What is the difference between Director Computational Geometry Developer vs Computational Geometry Developer?

AspectDirector Computational Geometry DeveloperComputational Geometry Developer
CredentialsBachelor's or Master's in Computer Science, often with leadership experienceBachelor's or Master's in Computer Science or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, algorithm development, and technical problem-solving
Industry UsageUsed in companies requiring strategic oversight of geometry algorithmsCommon in R&D, software development, and research roles
Search & Comparison IntentUnderstanding leadership roles in computational geometryTechnical development and algorithm implementation

The main difference is that the Director Computational Geometry Developer oversees teams and projects, focusing on strategic management, while the Computational Geometry Developer concentrates on technical algorithm development and coding. Both roles require strong expertise in computational geometry, but their responsibilities and focus areas differ significantly.

What does a director computational geometry developer do?

A Director Computational Geometry Developer leads teams that design and implement algorithms to solve problems involving geometric data, such as 3D modeling, computer graphics, and CAD systems. They oversee the development of software tools and frameworks that process, analyze, and visualize complex geometric structures. Their responsibilities often include project management, architectural decisions, and ensuring that solutions are efficient and accurate. Additionally, they collaborate with other departments and stakeholders to align computational geometry applications with organizational goals.

What are the most commonly searched types of Computational Geometry Developer jobs in New York?

The most popular types of Computational Geometry Developer jobs in New York are:

What cities in New York are hiring for Director Computational Geometry Developer jobs?

Cities in New York with the most Director Computational Geometry Developer job openings:

Director Computational Geometry Developer jobs near you

Member of Technical Staff - Product Engineer

Valthos

New York, NY • On-site

Full-time

Re-posted 22 days ago

Job description

Product Engineer
Valthos Inc.
Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity.
The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature's evolving mutational landscape.
We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT's Broad Institute and DeepMind making the latest advances in computational biology accessible in the real world for federal and commercial use.
Grove is Valthos's product for making complex biological data useful in real-world missions. It combines sequencing and contextual data with computational methods, models, and reference sources to help users identify and characterize biological threats, understand the evidence behind a result, and determine what to do next.
Today, those capabilities are fragmented across instruments, custom pipelines, databases, and specialist teams. Grove brings them into a coherent product. Ingesting and processing data, coordinating biological methods, preserving lineage, and presenting findings in a form people can understand and use. It is designed to evolve as models, methods, and reference data change, and to operate in customer-controlled environments that may be disconnected, bandwidth-limited, compute-limited, or classified.
A product engineer at Valthos owns core parts of Grove from an ambiguous customer need through production software. The role works directly with customers, computational biologists, AI engineers, founders, and mission partners to understand hard problems and build the product capabilities that address them.
This is a broad full-stack role spanning interfaces, APIs, services, data models, computational workflows, integrations, and deployment infrastructure. There is no handoff between defining the product and building it. The person who thrives here combines strong engineering with product judgment. Learning enough of a difficult domain to make good decisions, identifying the right abstraction without overbuilding it, and shipping quickly without leaving behind a fragile system.
The Role
  • Own core product capabilities from the initial customer problem through product definition, architecture, implementation, deployment, and iteration
  • Work directly with customers, business development, and domain experts to understand mission needs and translate complex technical workflows into clear product behavior
  • Build across the application stack, including user-facing interfaces, APIs, backend services, data models, computational workflows, integrations, and infrastructure
  • Turn models, biological methods, and reference sources into reliable, versioned, and testable product capabilities
  • Design workflows that preserve source data, supporting evidence, provenance, uncertainty, and clear opportunities for user review
  • Build product experiences, visualizations, reports, alerts, and integrations that make technical findings understandable and useful
  • Prototype with customers and representative data, determine what works, and turn proven needs into durable capabilities and shared product primitives
  • Define end-to-end evaluations that test whether the complete product works under realistic data, deployment, and time constraints
  • Make pragmatic decisions about scope, sequencing, architecture, and build versus buy while owning the reliability, performance, security, and maintainability of software in production
Qualifications (required)
  • Experience independently owning substantial product capabilities or applications from an ambiguous problem through production and subsequent iteration
  • Strong full-stack engineering ability, with depth in at least one area and the ability to work effectively across interfaces, backend services, data, and infrastructure
  • Experience building production applications with React and TypeScript and backend systems with Python or comparable languages and frameworks
  • Strong understanding of API design, data modeling, relational databases, asynchronous workflows, and production systems
  • Ability to translate complex or partially understood technical workflows into clear, durable software
  • Strong product judgment, including direct customer engagement, effective scoping, and the ability to identify the underlying problem behind a feature request
  • Systems thinking paired with practical restraint. Knowing when to create a reusable primitive and when a purpose-built solution is sufficient
  • Ability to learn unfamiliar technical domains quickly and work effectively with researchers, customers, designers, and engineers
  • Comfort working on sensitive biological and national-security problems with discretion and good judgment
Qualifications (preferred)
  • Experience building scientific, intelligence, public-health, enterprise, or other data-intensive software
  • Experience with workflow orchestration, data pipelines, asynchronous processing, distributed systems, or containerized CPU- and GPU-based workloads
  • Experience integrating changing models, computational methods, or reference data into production systems
  • Experience building maps, timelines, graphs, evidence views, or other interfaces for exploring complex information
  • Experience evaluating complete workflows or products rather than relying solely on model-level benchmarks
  • Experience building software for secure, regulated, on-premises, edge, disconnected, or air-gapped environments
  • Experience using AI-assisted development tools while maintaining judgment and ownership over the resulting system
  • Background in or exposure to computational biology, bioinformatics, biodefense, public health, or national security

If there is a fit, we will schedule behavioral and technical interviews. The final step is an onsite in our office, where candidates work on a small project, discuss ideas, and collaborate with the wider team.

Apply