Software Developer – Numerical Algorithms Job at COMSOL (Burlington)

Software Developer – Particle-Based Methods

COMSOL, Inc. is looking for a software developer to strengthen the development t...

Location

United States , Burlington

Salary:

135000.00 - 155000.00 USD / Year

COMSOL

Expiration Date

Until further notice

Requirements

Ph.D. in Applied Science or Applied Mathematics
Expertise in at least one of the following numerical simulation methods: Lagrangian particle tracking, Discrete element method (DEM), Molecular dynamics (MD), Smoothed particle hydrodynamics (SPH), Particle-in-cell (PIC)
Demonstrated experience with mathematical modeling
Proven programming experience in C++/Java
Excellent technical writing skills

Job Responsibility

Collaborate with team members to analyze simulation requirements and define technical specifications
Design and implement robust, efficient numerical methods and simulation algorithms in C++ and/or Java
Conduct testing and verification of code, produce clear documentation, and ensure maintainability of the software modules
Participate in product design and innovation for simulation software applied to real-world engineering problems
Work with cross-discipline teams to deliver impactful solutions

What we offer

Health and 401(k) plans with a company match and other benefits
Generous vacation time
A spacious, bright, and comfortable office with private workspaces
A surrounding office park with onsite restaurants, hotels, bars, and a free fitness center with workout classes

Fulltime

New

Applied Scientist

Come join the AWS Agentic AI science team in building the next generation models...

Location

United States , Santa Clara

Salary:

171600.00 - 222200.00 USD / Year

Amazon

Expiration Date

Until further notice

Requirements

3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Job Responsibility

Define and implement new automated reasoning features that employ scalable and efficient approaches to solve complex problems using neural learning and symbolic/formal reasoning
Apply software engineering best practices to ensure a high standard of quality for all team deliverables
Work in an agile, startup-like development environment
Deliver high-quality scientific artifacts
Work with the team to help drive business decisions

What we offer

health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave
sign-on payments
restricted stock units (RSUs)

Fulltime

Quantitative Developer

We are seeking an experienced Quantitative Developer to join the Numerical Perfo...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Proven experience in a high‑performance computing or numerical software role (experience outside of finance will be considered)
Strong programming skills in C++
experience with CUDA and Python preferred
Excellent background in computational mathematics, numerical analysis, or a related quantitative discipline
Demonstrated ability to design, implement, and optimise complex mathematical algorithms for performance‑critical applications
Solid understanding of Adjoint Algorithmic Differentiation (AAD) concepts
hands‑on experience with AAD tools is highly desirable
Deep practical knowledge of low‑level optimisation techniques, including SIMD intrinsics, auto‑vectorisation, cache behaviour, and memory access patterns
Strong understanding of modern hardware architectures and their impact on computational performance
Experience developing and optimising software on both Windows and Linux

Job Responsibility

Design, develop, and enhance quantitative libraries used for pricing and risk management
Create, implement, and support quantitative models for the trading business using advanced mathematical and computational techniques
Apply high‑performance computing methods, including hardware acceleration and low‑level optimisation
Develop pricing models using numerical techniques such as Monte Carlo methods and partial differential equation (PDE) solvers
Work with technologies including C++, CUDA, Python, and adjoint algorithmic differentiation (AAD)
Contribute to the technical direction of the group, mentor junior team members, and collaborate closely with quant teams across asset classes

Fulltime

Quant Analyst

Barclays Services Corp. seeks Quant Analyst, AVP in New York, NY (multiple posit...

Location

United States , New York

Salary:

140000.00 - 160000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Design, implement, and test graph-based algorithms to support sophisticated and standardization model orchestration to provide detailed lineage for business review
Implement solutions to allow for effective visualization of datasets for business insights
Implement efficient solutions for scale including sampling methods for risk models and using techniques such as numerical methods, Monte Carlo Simulation
Apply advanced modeling techniques including Machine learning to support business requirements use cases such as synthetic data generation for retail portfolios
Data processing to assist in anomaly detection
Perform probabilistic, statistical, and time series analysis to various datasets and provide sensitivity and what-if analysis
Design analytics and modelling solutions to complex business problems using domain expertise
Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools
Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams
Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them

Job Responsibility

Design, implement, and test graph-based algorithms to support sophisticated and standardization model orchestration to provide detailed lineage for business review
Implement solutions to allow for effective visualization of datasets for business insights
Implement efficient solutions for scale including sampling methods for risk models and using techniques such as numerical methods, Monte Carlo Simulation
Apply advanced modeling techniques including Machine learning to support business requirements use cases such as synthetic data generation for retail portfolios
Data processing to assist in anomaly detection
Perform probabilistic, statistical, and time series analysis to various datasets and provide sensitivity and what-if analysis

What we offer

Incentives pursuant to Barclays Employee Referral Program
Reasonable adjustment
Wellness center
Fitness centres
Health center
Colleague restaurant
Private executive dining room

Fulltime

Sr. Applied Scientist

Are you passionate about programming languages, applying formal verification, pr...

Location

USA , Arlington

Salary:

167100.00 - 226100.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Experience in patents or publications at top-tier peer-reviewed conferences or journals

Job Responsibility

Interact with various teams to develop an understanding of their security and safety requirements
Apply the acquired knowledge to build tools find problems, or show the absence of security/safety problems
Implement these tools through the use of SAT, SMT, BDDs, and various concepts from programming languages, theorem proving, formal verification and constraint solving
Perform analysis of the customer systems using tools developed in-house or externally provided
Create software prototypes to verify and validate the devised solutions methodologies
integrate the prototypes into production systems using standard software development tools and methodologies
Can present and defend company-wide technical decisions to the internal technical community and represent the company effectively at technical conferences
Functional thought leader, sought after for key tech decisions
Mentors and trains the research scientist community on complex technical issues

What we offer

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

Senior Engineer, Quantum Algorithms

We are looking for a Software Engineer with deep expertise in Mathematical Optim...

Location

United States , Hoboken

Salary:

Not provided

Quantum Computing Inc.

Expiration Date

Until further notice

Requirements

6+ years of experience in software engineering with a focus on systems or HPC
Strong proficiency in C++ and Python
Experience with quantum algorithms, quantum information, or quantum optics
Strong mathematical background in Convex Optimization, Quadratic Programming (QP), Mixed-Integer Linear Programming (MILP), or Gradient-Free Methods
Experience with Numerical Analysis and high-performance math libraries (e.g., BLAS, LAPACK, Eigen)
Familiarity with protocols (e.g., UART, SPI, gRPC, REST) and software integration
Strong understanding of performance tuning, memory management, and fault-tolerant design
Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang)
Experience working in cross-functional teams involving hardware, physics, and software.

Job Responsibility

Design and implement the high-performance C++ runtime and Hardware Abstraction Layer (HAL) for photonic optimization computers
Profile and optimize critical execution paths to minimize latency, addressing bottlenecks in memory bandwidth, cache locality, and data transfer
Collaborate with FPGA, Electrical engineers and Firmware engineers to ensure to create, test, and optimize device interfaces
Develop algorithmic enhancements to usage of quantum feedback to solve NP hard optimization problems more efficiently with higher solution quality
Write efficient, thread-safe code for concurrent hardware control and real-time signal processing
Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines
Build software layers to decompose and orchestrate large-scale optimization problems across multiple photonic hardware resources
Contribute to quantum algorithms on the company roadmap

Fulltime

Applied Scientist

The Sponsored Products and Brands team at Amazon Ads is re-imagining the adverti...

Location

United States , New York; Arlington; Seattle

Salary:

142800.00 - 223400.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Job Responsibility

Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity
Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience
Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production
work closely with software engineers to assist in productionizing your ML models
Run A/B experiments, gather data, and perform statistical analysis
Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
Research new and innovative machine learning approaches

What we offer

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts)
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

Fulltime

Applied Scientist

As an Applied Scientist in the Alexa AI team, you will spearhead the advancement...

Location

Italy , Turin

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

PhD, or a Master's degree and experience in Computer Science, Computer Engineering, Machine Learning or related field
Experience building machine learning models or developing algorithms for business application
Strong proficiency in programming languages such as Python or Java, with deep expertise in machine learning frameworks
Experience in any of the following areas: algorithms and data structures, algorithms, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting.

Job Responsibility

Analyze and model customer behavior at scale, building novel metrics for personal digital assistants across diverse devices and endpoints
Create deep learning, policy-based learning, and machine learning algorithms that directly impact customer experiences
Build and deploy automated model training and evaluation pipelines
Implement complex machine learning and deep learning algorithms
Conduct rigorous model and data analysis through online A/B testing
Research and implement novel approaches that push the boundaries of what's possible in conversational AI
Ensure operational excellence by taking ownership of production systems, including on-call responsibilities
Deploy fixes and handle high-severity issues alongside Software Development Engineers

Fulltime

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Software Developer – Numerical Algorithms

Job Description

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