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Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (Clio), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.

Responsibilities:

• Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry-specific deep dives

• Design and conduct empirical research on AI's economic effects, drawing on external data sources and the privacy-preserving measurement systems internally

• Develop new methodological approaches for studying AI's impact on:

• Labor markets and the future of work

• Productivity and task transformation

• Economic inequality and displacement

• Industry-specific disruption and adaptation

• Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios

• Develop causal-inference tooling , e.g. surrogate indexes, heterogeneous-effect pipelines , to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions

• Build and maintain relationships with academic institutions, policy think tanks, and other research partners

• Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection

• Translate research insights into actionable recommendations for both product decisions and policy discussions

• Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders

You May Be a Good Fit If You Have:

• PhD in Economics

• Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning

• Experience relevant to the study of AI’s impact on the economy, including:

• Labor market analysis and occupational change

• Task-based approaches to technological transformation

• Large-scale data analysis and econometric methods

• Large language models for social science research

• Policy-relevant economic research

• Experimental and quasi-experimental methods for causal inference

• Macroeconomic modeling and time series forecasting

• Agent-based modeling or large-scale simulation

• Technical skills including:

• Proficiency in Python, R, SQL, or similar tools for large-scale data analysis

• Experience working with novel datasets and measurement systems

• Comfort learning new technical tools and frameworks

• Demonstrated ability to:

• Lead complex research projects from conception to publication

• Communicate technical findings to diverse audiences

• Build relationships across academic, policy, and industry communities

• Strong interest in ensuring AI development benefits humanity

• Comfort working with AI systems and ability to think critically about their capabilities and limitations

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As a Research Scientist/Engineer focused on honesty within the Finetuning Alignment team, you'll spearhead the development of techniques to minimize hallucinations and enhance truthfulness in language models.

Your work will focus on creating robust systems that are accurate and reflect their true levels of confidence across all domains, and that work to avoid being deceptive or misleading.

Your work will be critical for ensuring our models maintain high standards of accuracy and honesty across diverse domains.

Responsibilities

• Design and implement novel data curation pipelines to identify, verify, and filter training data for accuracy given the model’s knowledge

• Develop specialized classifiers to detect potential hallucinations or miscalibrated claims made by the model

• Create and maintain comprehensive honesty benchmarks and evaluation frameworks

• Implement techniques to ground model outputs in verified information, such as search and retrieval-augmented generation (RAG) systems

• Design and deploy human feedback collection specifically for identifying and correcting miscalibrated responses

• Design and implement prompting pipelines to generate data that improves model accuracy and honesty

• Develop and test novel RL environments that reward truthful outputs and penalize fabricated claims

• Create tools to help human evaluators efficiently assess model outputs for accuracy

Requirements

• Have an MS/PhD in Computer Science, ML, or related field

• Possess strong programming skills in Python

• Have industry experience with language model finetuning and classifier training

• Show proficiency in experimental design and statistical analysis for measuring improvements in calibration and accuracy

• Care about AI safety and the accuracy and honesty of both current and future AI systems

• Have experience in data science or the creation and curation of datasets for finetuning LLMs

• An understanding of various metrics of uncertainty, calibration, and truthfulness in model outputs

Preferred qualifications

• Published work on hallucination prevention, factual grounding, or knowledge integration in language models

• Experience with fact-grounding techniques

• Background in developing confidence estimation or calibration methods for ML models

• A track record of creating and maintaining factual knowledge bases

• Familiarity with RLHF specifically applied to improving model truthfulness

• Worked with crowd-sourcing platforms and human feedback collection systems

• Experience developing evaluations of model accuracy or hallucinations

Benefits

• Competitive compensation and benefits

• Optional equity donation matching

• Generous vacation and parental leave

• Flexible working hours

• Lovely office space in which to collaborate with colleagues

Visa sponsorship

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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As a Staff Data Scientist, Marketing Analytics, you will be the senior analytical and strategic leader who makes marketing performance legible, credible, and actionable. You will partner closely with Growth Marketing leadership and channel owners across paid, lifecycle, and organic, plus Finance, Product, and Engineering.

Your job is to help Headway answer the questions that matter:

• What is truly incremental?

• Where should we invest next?

• What is driving performance shifts?

• How do we scale what works without fooling ourselves?

You will build the frameworks, analyses, and modeling approaches that enable the marketing team to move faster with confidence. This is high-stakes decision support for a growth engine that needs to compound and certainly not a dashboard-only role or “just attribution” role.

Responsibilities:

• Own incrementality measurement across channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized tests are not feasible. Define clear guardrails, decision rules, and what “good” looks like.

• Build a marketing measurement system that leaders trust. Define canonical metrics (CAC, LTV, payback, conversion, retention, capacity-adjusted ROI), ensure definitions are consistent, and create a clear measurement narrative that aligns Marketing, Finance, and Product.

• Turn ambiguity into a plan. When performance changes, you will diagnose why, quantify contributing drivers, and recommend concrete actions. You will be the person who can say, “Here’s what moved, here’s why we believe it moved, and here’s what we do next.”

• Develop and evolve modeling approaches where they create leverage. Build practical models such as LTV and retention forecasting, cohort value prediction, causal uplift models for lifecycle, and marketing mix modeling when appropriate. Focus on models that survive contact with reality: calibration, backtesting, and decision usefulness.

• Partner with Engineering on the measurement plumbing. Improve event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring so measurement is robust. Advocate for minimal, decision-critical requirements that unlock reliable learning.

• Design learning loops that scale. Create repeatable experimentation and analysis templates for channel and creative testing, including measurement of message by audience by surface. Increase testing velocity without lowering the truth standard.

• Influence strategy, not just reporting. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.

• Uplevel the team. Mentor analysts and data scientists working on growth, set quality standards, and help establish best practices across experimentation, causal inference, and forecasting.

What will make you successful:

• 10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact).

• Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them.

• Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows.

• Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring.

• Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis.

• Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum.

• High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real.

• You are motivated by the mission. Access and affordability in mental healthcare are not abstract problems here.

Nice to have:

• Experience with geo experiments, marketplace constraints, or capacity-aware marketing optimization.

• Experience measuring acquisition quality beyond conversion: downstream engagement, retention, clinical matching quality, and unit economics.

• Familiarity with lifecycle marketing measurement (incrementality, uplift, experimentation design for messaging).

• Experience partnering with Finance on budget allocation, payback, and scenario planning.

• Comfort working with imperfect identity, privacy constraints, and evolving attribution ecosystems.

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Key responsibilities include:

• Driving high-impact scientific work across GenAI-powered labeling and evaluation systems
• Identifying opportunities where LLMs and related methods can improve quality, speed, coverage, and cost efficiency
• Developing prototypes that demonstrate value in areas such as prompt optimization, task decomposition, quality estimation, routing, and human-in-the-loop workflows
• Designing rigorous measurement frameworks to evaluate model performance, workflow outcomes, and operational tradeoffs
• Partnering with engineering, product, and data science teams to shape roadmaps and productionize successful approaches
• Establishing strong standards for trustworthiness, including bias measurement, calibration, quality control, and responsible oversight
• Creating reusable methods and frameworks that can scale across teams and use cases

Requirements include:

• 10+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on large-scale data
• Deep hands-on experience as an individual contributor solving technically complex, high-impact data science or ML problems
• Strong experience applying LLMs or other generative AI techniques to practical workflows, systems, or products
• Demonstrated ability to turn ambiguous problems into rigorous analyses, experiments, prototypes, and scalable solutions
• Proven track record of writing high-quality code and using technical work to influence product or platform direction
• Strong cross-functional collaboration skills and a track record of influencing leaders and peers through data and technical judgment
• Strong business and product sense with the ability to define meaningful success metrics and prioritize high-value opportunities
• Self-directed learning mindset and comfort working in a rapidly evolving technical landscape
• Experience with labeling systems, evaluation frameworks, human judgment workflows, or internal AI tooling is strongly preferred

In-office requirement statement: This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation statement: This position is not eligible for relocation assistance.

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As a Robotics Software Engineer, you will write and maintain core libraries and services that perform critical functions for collaborative teams of robots. This includes motion deconfliction and contingency management of fast mover air vehicles.

You will own major feature development and rollout of large, complex features for our products, such as terminal-phase autonomy for various air vehicles and developing a test plan on live surrogates.

You will work closely with Anduril and 3rd party vehicle hardware teams, as well as operational subject matter experts (fighter pilots, UAV operators, etc.) to align on requirements during product development and iterate towards a final design.

Required qualifications include a BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field, and 3+ years experience with C++ or Rust in a Linux development environment.

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The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions.

Eligible to obtain and maintain an active U.S. Top Secret security clearance BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field. 3+ years of production-grade C++ and/or Rust experience in a Linux development environment Experience building software solutions involving significant amounts of data processing and analysis Ability to quickly understand and navigate complex systems and established code bases A desire to work on critical software that has a real-world impact Travel up to 30% of time to build, test, and deploy capabilities in the real world

Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems Developing and testing multi-agent autonomous systems and deploying in real-world environments. Feature and algorithm development with an understanding of behavior trees. Developing software/hardware for flight systems and safety critical functionality. Distributed communication networks and message standards Knowledge of military systems and operational tactics

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You will lead the architecture, implementation, and deployment of the logic that enables these systems to understand their environment, navigate safely, respond to obstacles or threats, and execute complex missions with limited human involvement.

As a technical leader, you will provide hands-on contributions across software development, establishing a long-term software roadmap, and leading the team through execution of that plan.

Collaborating closely with program leadership and cross-functional teams from other Anduril products, you'll ensure that designs align with customer requirements while maintaining traceability to program office technical decisions.

You will act as a subject matter expert in mission systems development and integration, presenting to customers and demonstrating overall system performance.

If you enjoy tackling complex technical challenges and owning the development of high-impact products, this role is for you.

Key Responsibilities:

• Act as a technical leader on a small team owning software for Copperhead

• Draw on both your technical expertise and leadership skills to set objectives, build cross-functional teams, and rapidly drive projects to completion

• Drive the design and implementation of development processes for the initial delivery and subsequent iteration of payloads and mission systems

• Act as the technical owner for an entire mission system, including stakeholder and customer engagement, requirements definition, roadmap management, team coordination, design, implementation, sustainment and evolution

• Organize integration events, scoping key deliverables and impact to broader program

• Own customer success through the design and delivery of a fully operational mission system

• Leverage internal product and program-specific engineering teams to rapidly deliver capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time

• Generate system solutions to improve reliability, ease-of-use, and capability across a variety of customer missions

• Write and maintain core libraries (frame transformations, targeting and guidance, communications, etc.) that all robotics platforms at Anduril will use

• Own major feature development for Copperhead and manage rollout to the fleet

• Author documents to fulfill specific customer requests, including white papers and reports

• Travel up to 15% of time to build, test, and deploy capabilities in the real world, and collaborate with other teams or end-users

Required Qualifications:

• Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics

• Experience in a leadership position within a high-performing technology organization

• Proven understanding of data structures, algorithms, concurrency, and code optimization

• 6+ years of professional C++ or Rust programming experience in a Linux development environment

• Experience troubleshooting and analyzing remotely deployed software systems

• Experience with the development and sustainment of distributed software platform and application architectures, running under dynamic network topologies

• Capacity to work holistically on software-enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation, and sustainment

• Demonstrated curiosity and ability to learn outside of core discipline, and a desire to work on critical software that has a real-world impact

• Experience engaging with customers to represent the technical aspects of a product portfolio regarding missions and payloads

• Strong communication skills and ability to collaborate across technical teams

• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred Qualifications:

• MS or PhD in Computer Science, Robotics, or a related field

• Experience with modeling and simulation of complex systems

• Proficiency in Python, Rust, and/or Go

• Experience in one or more of the following: high-performance computing, network programming, fault tolerance, fault handling, DevSecOps

• Experience solving complex frame transformation problems, such as target localization or multi-degree-of-freedom robotic arms

• Experience in one or more of the following: sensor integration, tracking and estimation, motion planning, perception, localization, mapping, guidance, navigation, and control, and related system performance metrics

• Hands-on experience developing software for embedded and physical devices

• Solid understanding of robotics systems, common interfaces, and protocols (gRPC, TCP/IP, RS485, RS232)

• Demonstrated ability to learn and grow individually, while effectively mentoring senior team members, building team cohesion, and increasing team capability

Experience Level: Senior

Employment Type: Full-time

Workplace Type: Onsite

Category: Engineering

Industry: Technology

Salary Range: $220,000-$292,000 USD

Required Skills:

• C++

• Rust

• Linux development environment

• Data structures

• Algorithms

• Concurrency

• Code optimization

• Distributed software platform and application architectures

• Dynamic network topologies

• Software-enabled capabilities

• Critical software

• Complex systems

• Modeling and simulation

• High-performance computing

• Network programming

• Fault tolerance

• Fault handling

• DevSecOps

• Sensor integration

• Tracking and estimation

• Motion planning

• Perception

• Localization

• Mapping

• Guidance

• Navigation

• Control

Preferred Skills:

• Python

• Go

• High-performance computing

• Network programming

• Fault tolerance

• Fault handling

• DevSecOps

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We are seeking exceptional GNC Engineers to shape the next generation of advanced tactical missile systems, strategic weapons, and hypersonic strike and defense systems. As a key contributor, you will develop, test, and integrate cutting-edge GNC architectures for subsonic, supersonic, and hypersonic autonomous systems, driving innovation in mission-critical capabilities.

Responsibilities:

• Develop, implement, and test algorithms for guidance, navigation, and control systems in line with project requirements.
• Design, implement, and assess the GNC architectures considering all elements, including sensors, actuators, and algorithms.
• Participate in all phases of system development, from concept to design, prototyping, testing, and operation.
• Collaborate closely with a multidisciplinary team including systems engineers, flight software engineers, and test engineers to ensure system-wide integration and performance.
• Contribute to design reviews, safety assessments, and system documentation.
• Use simulation and analysis tools to verify GNC models and system performance under different operating conditions.
• Provide system engineering expertise in the development of GNC systems, ensuring a cohesive and efficient approach to the design and implementation process.
• Troubleshoot and resolve issues related to GNC systems during design, testing, and operational phases.
• Keep updated with the latest technologies and trends in GNC engineering and system architecture design.

Required Qualifications:

• BS in Robotics, Computer Science, Electrical, Mechanical, Mechatronics, Aerospace Engineering or related field with focus on dynamics and control
• A strong theoretical knowledge of flight mechanics, classical and modern control theory, estimation, and filtering techniques.
• Experience with developing GNC solutions for flight systems
• Proficiency with GNC simulation tools like MATLAB, Simulink and related toolboxes
• Familiarization with 6-DOF simulations
• Must be eligible to obtain and maintain a U.S. Top Secret clearance

Preferred Qualifications:

• A MS or Ph.D. in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a related field is a plus
• Strong understanding of flight mechanics and related physics.
• Practical experience developing GNC designs for high speed flight systems and re-entry vehicles.
• Practical experience with Explicit Model Following, Dynamic Inversion, and Adaptive Control techniques.
• Extensive experience in GNC system and architecture development and testing, preferably in the aerospace industry.
• Experience generating C or C++ code from Simulink models.
• Experience writing code in C/C++
• Strong analytical, problem-solving, and decision-making skills.
• Excellent verbal and written communication skills.
• Ability to work independently and in a team-oriented, collaborative environment.
• Familiarity with agile and Lean product development methodologies such as Scrum.
• Experience using Jira, Git, GitHub, or GitLab
• Understanding of and compliance with industry, safety, and quality standards appropriate for the application
• Passion for defending the United States and its allies
• Current Active U.S. Top Secret clearance preferred

Salary Range:

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package.

Benefits:

Anduril offers top-tier benefits for full-time employees, including:

• Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.
• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December.
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.
• Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development.
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

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You will participate in all phases of system development, from concept to design, prototyping, testing, and operation. You will collaborate closely with a multidisciplinary team including systems engineers, flight software engineers, and test engineers to ensure system-wide integration and performance. You will contribute to design reviews, safety assessments, and system documentation. You will use simulation and analysis tools to verify GNC models and system performance under different operating conditions.

You will provide system engineering expertise in the development of GNC systems, ensuring a cohesive and efficient approach to the design and implementation process. You will troubleshoot and resolve issues related to GNC systems during design, testing, and operational phases. You will keep updated with the latest technologies and trends in GNC engineering and system architecture design.

Required qualifications include a BS in Robotics, Computer Science, Electrical, Mechanical, Mechatronics, Aerospace Engineering or related field with focus on dynamics and control, 3 or more years of experience in Guidance, Navigation & Control engineering or related technical experience, and a strong theoretical knowledge of classical and modern control theory, estimation, and filtering techniques.

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You will lead the architecture, implementation, and deployment of the logic that enables these systems to understand their environment, navigate safely, respond to obstacles or threats, and execute complex missions with limited human involvement.

As a technical leader, you will provide hands-on contributions across software development, establish a long-term software roadmap, and lead the team through execution of that plan.

Collaborating closely with program leadership and cross-functional teams from other Anduril products, you'll ensure that designs align with customer requirements while maintaining traceability to program office technical decisions.

You will act as a subject matter expert in mission systems development and integration, presenting to customers and demonstrating overall system performance.

If you enjoy tackling complex technical challenges and owning the development of high-impact products, this role is for you.

In this role, you will:

• Act as a technical leader on a small team owning software for Copperhead
• Draw on both your technical expertise and leadership skills to set objectives, build cross-functional teams, and rapidly drive projects to completion
• Drive the design and implementation of development processes for the initial delivery and subsequent iteration of payloads and mission systems
• Act as the technical owner for an entire mission system, including stakeholder and customer engagement, requirements definition, roadmap management, team coordination, design, implementation, sustainment, and evolution
• Organize integration events, scoping key deliverables and impact to broader program
• Own customer success through the design and delivery of a fully operational mission system
• Leverage internal product and program-specific engineering teams to rapidly deliver capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time
• Generate system solutions to improve reliability, ease-of-use, and capability across a variety of customer missions
• Write and maintain core libraries (frame transformations, targeting and guidance, communications, etc.) that all robotics platforms at Anduril will use
• Own major feature development for Copperhead and manage rollout to the fleet
• Author documents to fulfill specific customer requests, including white papers and reports
• Travel up to 15% of time to build, test, and deploy capabilities in the real world, and collaborate with other teams or end-users

Required qualifications include:

• Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics
• Experience in a leadership position within a high-performing technology organization
• Proven understanding of data structures, algorithms, concurrency, and code optimization
• 6+ years of professional C++ or Rust programming experience in a Linux development environment
• Experience troubleshooting and analyzing remotely deployed software systems
• Experience with the development and sustainment of distributed software platform and application architectures, running under dynamic network topologies
• Capacity to work holistically on software-enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation, and sustainment
• Demonstrated curiosity and ability to learn outside of core discipline, and a desire to work on critical software that has a real-world impact
• Experience engaging with customers to represent the technical aspects of a product portfolio regarding missions and payloads
• Strong communication skills and ability to collaborate across technical teams
• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred qualifications include:

• MS or PhD in Computer Science, Robotics, or a related field
• Experience with modeling and simulation of complex systems
• Proficiency in Python, Rust, and/or Go
• Experience in one or more of the following: high-performance computing, network programming, fault tolerance, fault handling, DevSecOps
• Experience solving complex frame transformation problems, such as target localization or multi-degree-of-freedom robotic arms
• Experience in one or more of the following: sensor integration, tracking and estimation, motion planning, perception, localization, mapping, guidance, navigation, and control, and related system performance metrics
• Hands-on experience developing software for embedded and physical devices
• Solid understanding of robotics systems, common interfaces, and protocols (gRPC, TCP/IP, RS485, RS232)
• Demonstrated ability to learn and grow individually, while effectively mentoring senior team members, building team cohesion, and increasing team capability

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Key Responsibilities:

• Develop guidance algorithms (terminal and midcourse) and state estimators for group 1-3 UAV platforms
• Work closely with the flight software and computer vision team to define requirements, develop GNC software and validate functionality in simulation on aggressive timelines
• Review test data captured from the flight control system, subsystems, and other test instrumentation to verify vehicle performance, evaluate GNC algorithm/controller behaviour, or debug incidents during testing or from fielded assets

Requirements:

• Bachelor's degree in Robotics, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or a related field with a focus on dynamic systems and control
• 3+ years professional experience in a GNC role, preferably focusing on missile or weapons systems
• Experience with tactical guidance algorithms and target state estimation development
• Experience with state estimation and filtering
• Kalman filtering, sensor fusion, complementary filters, etc.
• Experience in modelling and simulation of linear and nonlinear dynamic systems and model linearisation
• Experience coding in Matlab and Simulink
• C/C++ Proficiency
• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred Qualifications:

• Master's Degree or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or a related field with a focus on dynamic systems and control
• 5+ years professional experience in a GNC role, preferably focusing on missile or weapons systems
• Experience with flight test and debugging GNC on UAV platforms
• Experience with GNC design and analysis for fixed wing, rotary wing aircraft and/or tactical missile systems
• Experience with seeker integration
• Experience in one or more of the following: VIO, TERCOM, gimbal mount models, detection and tracking, LWIR/EO sensors, RADAR, target motion models
• Experience with Simulink Embedded Coder

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As a Research Engineer/Scientist, you will:

• Design and implement modern SLAM systems for real-world environments, including visual, visual-inertial, lidar, or multi-sensor configurations.
• Develop robust localization and mapping pipelines, including pose estimation, map management, loop closure, and global optimization.
• Research and prototype learning-based or hybrid SLAM approaches that combine classical geometry with modern machine learning methods.
• Build and maintain scalable state estimation frameworks, including factor graph optimization, filtering, and smoothing techniques.
• Develop sensor fusion strategies that integrate cameras, IMUs, depth sensors, lidar, or other modalities to improve robustness and accuracy.
• Analyze failure modes in real-world SLAM deployments (e.g., perceptual aliasing, dynamic scenes, drift) and design principled solutions.
• Create evaluation frameworks, benchmarks, and metrics to measure SLAM accuracy, robustness, and performance across large datasets.
• Optimize performance across the stack, including real-time constraints, memory usage, and compute efficiency, for large-scale and production systems.
• Collaborate with reconstruction, simulation, and infrastructure teams to ensure SLAM outputs integrate cleanly with downstream world modeling and rendering pipelines.
• Contribute to technical direction by proposing new research ideas, mentoring teammates, and helping define best practices for localization and mapping across the organization.

We're looking for someone with 6+ years of experience working on SLAM, state estimation, robotics perception, or related areas. A strong foundation in probabilistic estimation, optimization, and geometric vision is required, as well as proficiency in Python and/or C++.

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Key responsibilities include:

• Managing contracts for production, animation, photography, visual effects, editing, and location releases
• Clearing third-party trademarks and intellectual property
• Working with producers to estimate costs and negotiate contracts
• Reviewing rough cuts and final content for any risk or clearance concerns
• Tracking and managing payments for vendors and talent

The ideal candidate will have at least 8 years of experience in business affairs, with a strong understanding of the SAG-AFTRA commercials contract. They will also have excellent organizational skills, attention to detail, and the ability to work well under pressure.

This role offers a competitive salary range of $120,000 to $145,000 per year, depending on location and experience.

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As a Modeling & Simulation Engineer, you will be responsible for improving and adding to our sensor and communications model suite so that our operator training and internal engineering pipelines have a seamless translation from sim to real results.

Responsibilities

• Develop and enhance radar sensor models for use in simulation and evaluation of aeronautical vehicles.
• Translate theoretical models into efficient, reliable C++ implementations with a focus on numerical accuracy and performance.
• Validate models against real-world data and authoritative references, including field test data and calibration procedures.
• Collaborate with simulation and training application teams to ensure models integrate cleanly into operator-facing tools.
• Design automated validation and regression testing strategies for mathematical models to ensure fidelity across releases.
• Prototype and evaluate new modeling techniques (reduced-order models, uncertainty quantification, machine learning–based surrogates) to push the state of the art.
• Document assumptions, equations, and validation results so that both engineers and operators can trust model outputs.

Requirements

• BS or higher in Aerospace Engineering, Applied Math, Physics, or related field with 5+ years of aerospace modeling experience.
• C++ foundation with experience implementing numerical methods.
• Demonstrated experience with aerospace models such as: Radar sensors, Radio communications systems
• Experience validating simulations against real-world or experimental data.
• Ability to write clear documentation explaining assumptions, limitations, and expected behaviors of models.

Preferences

• 1+ years of experience working on pilot/operator training systems.
• Experience with Eigen or SciPy for model prototyping and validation.
• Familiarity with state estimation sensor models (GPS, IMU, Gyro, etc) for simulation environments.
• Demonstrated experience with payload sensor models including: Laser sensors, IR and optical cameras
• Knowledge of uncertainty quantification and statistical analysis methods.
• Experience with parallelization or GPU acceleration for compute-heavy models.
• Strong problem-solving mindset with a collaborative and detail-oriented approach.
• Familiarity with Python for test automation and data analysis pipelines.
• Passion for aerospace and autonomous vehicle systems.

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Your work will support the transition of cutting-edge research into fielded capabilities, helping Shield AI deliver precision navigation solutions for mission-critical applications.

Responsibilities:

• Develop and implement real-time state estimation algorithms including inertial navigation, sensor fusion, and alternative navigation methods for GPS-denied or degraded environments.
• Integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar into robust estimation frameworks.
• Design sensor processing pipelines focused on accuracy, robustness, and system-level fault tolerance.
• Collaborate with autonomy, software, and hardware teams to ensure end-to-end integration of navigation and PNT systems.
• Conduct simulation, lab testing, and field trials to evaluate algorithm performance under real-world conditions.
• Stay current on advancements in state estimation and navigation technologies and help adapt new innovations into deployable solutions.

Qualifications:

• Typically requires a minimum of 7 years of relevant experience with a bachelor’s degree; or 6 years with a master’s degree; or 4 years with a PhD; or equivalent practical experience.
• Experience developing and deploying real-time navigation or sensor fusion algorithms using IMUs, GPS, or other sensors.
• Strong understanding of filtering and estimation techniques (e.g., Kalman filters, EKF, UKF, particle filters).
• Proficient in C++11 or newer in real-time environments.
• Comfortable working in Linux, with experience using standard command-line tools and scripting.
• Strong written and verbal communication skills with a collaborative mindset.
• Demonstrated success working in fast-paced development cycles and delivering high-quality results.

Salary:

$187,531 - $281,297 a year

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A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.

Responsibilities:

• Develop advanced perception algorithms , Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
• Implement sensor fusion frameworks , Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.
• Develop state estimation capabilities , Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.
• Analyze and utilize sensor ICDs , Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.
• Optimize perception performance , Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.
• Support autonomy integration , Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.
• Validate in simulated and operational settings , Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.
• Collaborate with hardware and sensor teams , Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.
• Drive innovation in airborne sensing , Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.
• Travel Requirement , Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

Requirements:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience
• Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models
• Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches
• Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications
• Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs
• Proficiency with version control, debugging, and test-driven development in cross-functional teams
• Ability to obtain a SECRET clearance

Preferences:

• Hands-on integration or algorithm development with airborne sensing systems
• Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks
• Experience deploying perception software on SWaP-constrained platforms
• Familiarity with validating perception systems during flight test events or operational environments
• Understanding of sensing challenges in denied or degraded conditions
• Exposure to perception applications across air, maritime, and ground platforms

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In this role, you will guide multidisciplinary teams to design, build, and deploy high-performance autonomy solutions,from algorithm development to system integration and field testing. Working at the intersection of robotics, aerospace, and software engineering, you’ll drive mission-critical capabilities from concept to flight, delivering resilient, scalable systems that perform in dynamic and contested conditions.

Responsibilities:

• Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication.

• Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.

• Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.

• Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.

• Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.

• Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions.

Required qualifications:

• A tertiary level qualification in Computer Science, Mechatronics, Software Engineering, Robotics or a related field

• Significant professional experience in robotics, autonomy, perception or aerospace systems

• Strong experience in modern C++

• Experience leading teams to delivery engineering projects

• Significant experience in building and delivering reliable software systems, ideally in fast-paced environments

Preferred qualifications:

• Prior experience with uncrewed systems, especially in the air domain

• Defence industry experience

• Significant experience in one or more of the following domains:

  • State Estimation

  • Real-Time Systems

  • Guidance, Navigation and Control

  • Path Planning

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Navigation System Architecture & Design:

Establish navigation performance requirements and error budgets for safety-critical applications. Support decomposition of navigation requirements into allocations for sensors, estimation algorithms, and software components. Design detailed software architecture for state estimation implementations, including module interfaces and data flow.

Algorithm Development & Implementation:

Design and implement Extended Kalman Filter algorithms for navigation applications, with broad understanding of state estimation theory and alternative filtering approaches. Implement tightly-coupled and loosely-coupled GNSS/INS integration algorithms. Integrate diverse sensing modalities (vision, RF, celestial etc.) into multi-sensor fusion framework for GPS-degraded environments. Develop fault detection, isolation, and recovery (FDIR) strategies for navigation systems. Implement integrity monitoring and protection level calculations for safety-critical operations.

Certification & Verification:

Develop verification and validation test plans for navigation algorithms. Conduct performance analysis including Monte Carlo simulation, covariance analysis, and flight test data evaluation. Document navigation system design, requirements allocation, and compliance evidence. Support safety assessment activities including failure modes and effects analysis.

Technical Leadership:

Provide technical guidance on navigation architecture and state estimation approaches. Support trade studies evaluating navigation sensor suites and fusion strategies. Mentor junior engineers on state estimation theory and implementation.

Required qualifications:

• MS or PhD in Computer Science, Software Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Applied Mathematics, or related field
• 15+ years of experience developing state estimation algorithms for aerospace navigation applications
• Demonstrated experience implementing GNSS/INS integration solutions
• Experience with safety-critical system development and certification processes
• Deep understanding of state estimation theory
• Experience implementing multi-sensor fusion algorithms in production systems
• Strong background in inertial navigation, GNSS positioning, and sensor error modeling
• Strong programming skills in C/C++ and Python/MATLAB for algorithm development and analysis
• Understanding of integrity monitoring, protection levels, and safety assessment methods
• Experience with requirements management and verification/validation processes for certifiable systems
• Understanding of GPS/GNSS signal structure, error sources, and performance characteristics
• Knowledge of IMU error models, calibration, and Allan variance analysis
• Familiarity with alternative navigation sensors (camera, RF ranging, celestial, etc.)
• Understanding of navigation performance metrics (accuracy, integrity, continuity, availability)

Preferred qualifications:

• PhD in relevant field with focus on state estimation or navigation
• Direct involvement in certified navigation system development from requirements through flight test
• Experience with specialized navigation approaches (vision-aided navigation, terrain-referenced navigation, celestial navigation, etc.)
• Publications or patents in navigation or state estimation
• Experience with GPS/GNSS jamming and spoofing mitigation techniques
• Clearance eligible or active security clearance

The salary for this position is $270,000 - $400,000 a year.

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A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.

Responsibilities:

• Develop advanced perception algorithms , Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
• Implement sensor fusion frameworks , Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.
• Develop state estimation capabilities , Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.
• Analyze and utilize sensor ICDs , Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.
• Optimize perception performance , Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.
• Support autonomy integration , Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.
• Validate in simulated and operational settings , Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.
• Collaborate with hardware and sensor teams , Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.
• Drive innovation in airborne sensing , Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.
• Travel Requirement , Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

Required Qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience
• Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models
• Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches
• Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications
• Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs
• Proficiency with version control, debugging, and test-driven development in cross-functional teams
• Ability to obtain a SECRET clearance

Preferred Qualifications:

• Hands-on integration or algorithm development with airborne sensing systems
• Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks
• Experience deploying perception software on SWaP-constrained platforms
• Familiarity with validating perception systems during flight test events or operational environments
• Understanding of sensing challenges in denied or degraded conditions
• Exposure to perception applications across air, maritime, and ground platforms

$182,720 - $274,080 a year

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As a Modeling & Simulation Engineer, you will be responsible for improving and adding to our world and aeronautical models so that our operator training and internal engineering pipelines have a seamless translation from sim to real results.

Responsibilities

• Develop and enhance aeronautical physics models (aerodynamics, propulsion, environmental, structural, etc.) for use in simulation and evaluation.
• Translate theoretical models into efficient, reliable C++ implementations with a focus on numerical accuracy and performance.
• Validate models against real-world data and authoritative references, including field test data and calibration procedures.
• Collaborate with simulation and training application teams to ensure models integrate cleanly into operator-facing tools.
• Design automated validation and regression testing strategies for mathematical models to ensure fidelity across releases.
• Prototype and evaluate new modeling techniques (reduced-order models, uncertainty quantification, machine learning–based surrogates) to push the state of the art.
• Document assumptions, equations, and validation results so that both engineers and operators can trust model outputs.

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Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America.

To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you.

Key reasons to join Cyngn:

We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders,they also get access to the liquidity of our publicly-traded equity.

We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts,they’re deployed to real clients right now. That means your work will have a tangible, visible impact.

We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters,and that’s what powers our innovation.

About this role:

As a Staff/Senior Software Engineer on our Calibration, Localization, & Mapping (CLAM) team, you will be responsible for delivering mission-critical improvements and new features to our calibration, localization, and mapping subsystems. You will work on a small, highly focused team developing production-quality software that enables efficient and accurate creation of HD maps at Cyngn deployment-sites and robust localization for Cyngn’s autonomous vehicle fleets.

Responsibilities

• Design, implement, tune, and test mapping, localization, and sensor calibration algorithms for our autonomous vehicle platforms using C++ and Python.

• Develop tooling and metrics for performance validation and continuous testing frameworks.

• Balance project tasks, code reviews, and research to meet product-driven milestones in a fast-paced startup environment.

Qualifications

• MS/Phd with focus in robotics or a similar technical field of study

• Solid foundation in probability theory, linear algebra, 3D geometry, and spatial coordinate transformations.

• In-depth understanding of matrix factorization algorithms and Lie algebra/groups.

• Solid theoretical knowledge of state-of-the-art techniques in 3D Lidar-based mapping and localization for autonomous vehicles (LOAM series, GICP, FastLIO, bundle-adjustment)

• Familiarity with state estimation frameworks such as EKF’s as well as modern nonlinear optimization libraries (GTSAM, G2O, Ceres-Solver, GNC-Solver, etc.)

• 6+ years of industry experience as an autonomous vehicle or robotics software engineering professional including hands-on implementation and tuning on production hardware.

• 6+ years industry experience writing C++ software in a production environment - architecture design, unit testing, code review, algorithm performance trade-offs, etc.

• Proficiency in Python.

• Excellent written & verbal communication skills.

Bonus Qualifications

• Proven record of top-tier publications or patents.

• Experience with GPU programming, CUDA.

• Experience in implementing automated map change detection and updating techniques.

• Experience implementing modern multi-sensor calibration and sensor mis-alignment detection algorithms.

• Experience with camera-based SLAM and 3D multi-view geometry.

• Experience working with ROS2 to design, build, and operate robotic systems.

• Exposure to modern software development version control and project management tools - Git, Jira, etc.

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)

• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)

• Company 401(k)

• Commuter Benefits

• Flexible vacation policy

• Sabbatical leave opportunity after 5 years with the company

• Paid Parental Leave

• Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages

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You will work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineers, process/reliability specialists, ATE engineers, and operations in a dynamic and high-energy work environment to bring industry-defining products to market.

Your responsibilities will include:

• Collaborating with cross-functional teams to craft essential next-generation product features that are important for performance, power optimization, and power management.
• Collaborating to craft tools for post-silicon work, build post-silicon methodologies to characterize silicon power, correlate silicon behavior with simulation.
• Working with various Arch & Design teams to come up with test plans of new features.
• Collaborating with other validation & bring-up teams to bring up/characterize silicon power and power saving features.
• Working with design & estimation teams to correlate with pre-silicon expectation, work with HW and SW teams to do the vital tuning and optimization of silicon power.
• Developing power consumption models to be used in binning, productization, and customer application notes, characterize and develop various power control mechanisms together with Arch/Design/SW teams.

We need to see:

• B. Tech or M. Tech in Electronics Engineering stream, with 3+ years related work experience, excellent problem-solving, collaborative, and interpersonal skills.
• Strong understanding of aspects related to silicon power and performance, technology node impacts, Hardware and Software interactions at system level.
• Hands-on experience with silicon bring up, validation, and productization, good knowledge in board and system design considerations, Power supply design.
• Very good problem-solving and hardware debugging skills, very good data analysis and logical reasoning skills.
• Strong familiarity with HW lab environment and understanding of various lab equipment.
• Experience in working with windows. Linux exposure is highly preferred.
• Working experience with scripting languages like perl and/or python is a plus point.
• Must be a great teammate and ready to collaborate with global teams from diverse cultural backgrounds in a high-energy environment.
• Exposure to critical path analysis, power analysis, process technologies, transistor/device physics, silicon reliability, and aging mechanisms.
• Background with power supply and substrate noise analysis and mitigation. Exposure to digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications.

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Responsibilities

• Perform detailed cost estimations for Underbody systems commodities, including Brakes, Alloy wheels, Shock Absorbers, Axles, Drive shafts, EPAS, Transmissions, Transfer cases, and all associated parts and application parts.
• Conduct competitive and benchmarking analyses of commodities to identify cost reduction opportunities and provide actionable recommendations.
• Lead Cost Gap Analysis and provide robust support to the Purchase function during supplier negotiations.
• Support new program target setting and estimation through forward model costing and cross-functional coordination.
• Execute financial analysis (e.g., Payback, Business Case) for proposed localization and cost reduction initiatives, recommending their financial viability.
• Collaborate closely with Engineering and Purchase teams to identify and implement additional cost reduction actions.
• Monitor and analyze cost and investment changes impacting various Engineering Change (EC) proposals for both new and running programs.

Qualifications

• Education: Bachelor of Engineering (BE) in Mechanical, Production, Automobile, or an equivalent qualification.
• Experience:
• 2 to 10 years of overall experience in cost estimation within the automotive industry.
• Minimum 1 year of Product Development (PD) experience, with a strong preference for experience in Electric Vehicle (EV) commodities.
• Hands-on experience in manufacturing, costing, and/or purchasing within an Automobile OEM or Automotive Ancillaries is essential.
• Skills & Knowledge:
• Proven knowledge of commodity estimation, particularly for underbody systems.
• Exposure to commodities such as E-Drive and Air Suspensions is an advantage.
• Familiarity with ED&T (Engineering Design & Testing), CAPEX (Capital Expenditure), Should Cost modeling, and tooling manufacturing costing is preferred.
• Understanding business concepts and critical thinking skills.
• Excellent communication skills, both written and verbal.
• Proficiency in Microsoft Excel and PowerPoint.
• Job Info
• Job Identification: 51262
• Job Category: PD Operations and Quality
• Posting Date: 03/09/2026, 06:44 AM
• Apply Before: 03/09/2026, 12:30 PM
• Degree Level: Bachelor's Degree or equivalent
• Job Schedule: Full time
• Locations: 15 Plot No 13, Chennai, TN, 600119, IN (Hybrid)
• Preferred Degree: Bachelor of Technology
• Remote: No

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As a Research Scientist/Engineer focused on honesty within the Finetuning Alignment team, you'll spearhead the development of techniques to minimise hallucinations and enhance truthfulness in language models. Your work will focus on creating robust systems that are accurate and reflect their true levels of confidence across all domains, and that work to avoid being deceptive or misleading.

Responsibilities:

• Design and implement novel data curation pipelines to identify, verify, and filter training data for accuracy given the model’s knowledge
• Develop specialised classifiers to detect potential hallucinations or miscalibrated claims made by the model
• Create and maintain comprehensive honesty benchmarks and evaluation frameworks
• Implement techniques to ground model outputs in verified information, such as search and retrieval-augmented generation (RAG) systems
• Design and deploy human feedback collection specifically for identifying and correcting miscalibrated responses
• Design and implement prompting pipelines to generate data that improves model accuracy and honesty
• Develop and test novel RL environments that reward truthful outputs and penalize fabricated claims
• Create tools to help human evaluators efficiently assess model outputs for accuracy

You may be a good fit if you:

• Have an MS/PhD in Computer Science, ML, or related field
• Possess strong programming skills in Python
• Have industry experience with language model finetuning and classifier training
• Show proficiency in experimental design and statistical analysis for measuring improvements in calibration and accuracy
• Care about AI safety and the accuracy and honesty of both current and future AI systems
• Have experience in data science or the creation and curation of datasets for finetuning LLMs
• An understanding of various metrics of uncertainty, calibration, and truthfulness in model outputs

Strong candidates may also have:

• Published work on hallucination prevention, factual grounding, or knowledge integration in language models
• Experience with fact-grounding techniques
• Background in developing confidence estimation or calibration methods for ML models
• A track record of creating and maintaining factual knowledge bases
• Familiarity with RLHF specifically applied to improving model truthfulness
• Worked with crowd-sourcing platforms and human feedback collection systems
• Experience developing evaluations of model accuracy or hallucinations

Join us in our mission to ensure advanced AI systems behave reliably and ethically while staying aligned with human values.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$350,000 - $500,000USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single team to push the boundaries of what is possible with AI.

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $266K – $445K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

We are seeking a highly skilled cross-stack power architect with deep expertise in making ML systems energy efficient. This hands-on individual contributor will sit within our silicon implementation team and work closely with architecture, kernels, chip design, silicon implementation, platform design, and the broader industry ecosystem to architect, implement, and deploy performance-per-watt optimized next-generation AI accelerator chips and systems.

In this role, you will:

• Oversee power architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to maximize performance under power envelope

• Build chip and system-level power models grounded in empirical data and experience to guide organization-wide energy efficiency strategy. This requires a detailed understanding of ML workloads, ML chip and system architecture, silicon design, implementation, and characterization

• Collaborate with chip and platform architecture/design teams to explore and implement power management features, including the specification and implementation of digital/mixed-signal IP, sensing and telemetry, firmware/system software, and silicon characterization methodology (in partnership with engineering teams)

• Partner with silicon design and implementation teams, to optimize performance under power envelope. This includes (but is not limited to) clocking and power domain architecture, voltage/frequency selection, microarchitecture and physical-design driven power reduction, post-silicon voltage margin optimization and workload-informed power optimization

• Work with ecosystem partners (EDA, ASIC, IP, component vendors) to drive innovations that can improve energy efficiency

Qualifications:

• Relevant degree and strong industry experience focused on the end-to-end energy-efficient ML silicon codesign

• Hands-on experience with power architecture, power estimation, power management and power optimization is required.

• Fundamental understanding of ML chip and platform architecture, performance modeling and workload power/performance characteristics is strongly preferred.

• Hands-on experience with power bring-up and power validation is strongly preferred.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

London, UK

Employment Type

Full time

Location Type

Hybrid

Department

Data Science

The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Our team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability

The Integrity pillar within Applied Foundations is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. As the systems that address some of our most severe usage harms become more mature, we’re adding data scientists to help us measure robustly the prevalence of these problems and the quality of our response to them.

About the Role

We are looking for experienced trust and safety data scientists to help us improve, productionise and monitor measurement for complex, actor- and sometimes network-level harms. A data scientist in this role will own measurement and metrics across several established harm verticals, including estimating prevalence for on-platform (and sometimes off-platform!) harm, and analyses to identify gaps and opportunities in our responses.

This role is based out of our London office and may involve resolving urgent escalations outside of normal work hours. Many harm areas may involve sensitive content, including sexual, violent, or otherwise-disturbing material.

In this role, you will:

• own measurement and quantitative analysis for a group of severe, actor- and network-based usage harm verticals

• develop and implement AI-first methods for prevalence measurement and other productionised safety metrics, which may necessarily include off-platform indicators or other non-standard datasets

• build metrics that can be used for goaling or A/B tests when prevalence or other top line metrics are not suitable

• own dashboards and metrics reporting for harm verticals

• conduct analyses and generate insights that inform improvements to review, detection, or enforcement, and that influence roadmaps

• optimise LLM prompts for the purpose of measurement

• collaborate w/ other safety teams to understand key safety concerns and create relevant policies that will support safety needs

• provide metrics for leadership and external reporting

• develop automation to scale yourself, leveraging our agentic products

You might thrive in this role if you:

• are a senior DS with trust and safety experience that can drive measurement direction

• have deep statistics skills, specifically around sampling methods and prevalence estimation of complicated problem areas (ideally activity- rather than content-based)

• have experience working with severe and sensitive harm areas like child safety or violence

• are an excellent communicator, and have strong cross-functional collaboration skills

• are capable in data programming languages (R or python, SQL)

• (ideally) have experience with AI harms or leveraging AI for measurement

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco; New York City

Employment Type

Full time

Location Type

Hybrid

Department

Data Science

Compensation

• $293K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Our team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability

About the Role

We are looking for experienced trust and safety data scientists to help us improve, productionise and monitor measurement for complex, actor- and sometimes network-level harms. A data scientist in this role will own measurement and metrics across several established harm verticals, including estimating prevalence for on-platform (and sometimes off-platform!) harm, and analyses to identify gaps and opportunities in our responses.

In this role, you will:

• Own measurement and quantitative analysis for a group of severe, actor- and network-based usage harm verticals.

• Develop and implement AI-first methods for prevalence measurement and other productionised safety metrics, which may necessarily include off-platform indicators or other non-standard datasets.

• Build metrics that can be used for goaling or A/B tests when prevalence or other top line metrics are not suitable.

• Own dashboards and metrics reporting for harm verticals.

• Conduct analyses and generate insights that inform improvements to review, detection, or enforcement, and that influence roadmaps.

• Optimise LLM prompts for the purpose of measurement.

• Collaborate w/ other safety teams to understand key safety concerns and create relevant policies that will support safety needs.

• Provide metrics for leadership and external reporting.

• Develop automation to scale yourself, leveraging our agentic products.

You might thrive in this role if you:

• Are a senior DS with trust and safety experience that can drive measurement direction.

• Have deep statistics skills, specifically around sampling methods and prevalence estimation of complicated problem areas (ideally activity- rather than content-based).

• Have experience working with severe and sensitive harm areas like child safety or violence.

• Are an excellent communicator, and have strong cross-functional collaboration skills.

• Are capable in data programming languages (R or python, SQL).

• (Ideally) have experience with AI harms or leveraging AI for measurement.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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What you'll do

As a Data Scientist in our team, you will focus on building end-to-end data science solutions from exploratory analysis to model development and performance evaluation working closely with Machine Learning Engineers and Data Engineers.

• Analyze large, multilingual datasets to generate actionable insights for localization workflows.
• Develop and refine feature engineering pipelines tailored for multilingual and multimodal datasets.

What you need

• 2+ years of hands-on experience in applied data science, ideally in NLP, prompt engineering or multilingual domains.

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What you'll do

As a PhD Intern, you will:

• Perform a literature review
• Evaluate state-of-the-art methods
• Propose and experiment with novel approaches and methods
• Plan and build a proof-of-concept demonstration
• Write a technical report and share insights by giving presentations to the team

What you need

• Ongoing Ph.D. in Computer Science, Computer Graphics, Machine Learning, or any other relevant field
• Experience in using video data for training ML models
• Knowledge in 3D human pose and animation techniques
• You care about video games as a medium

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What you'll do

Drive the development of accurate and timely cost estimates and quotations for equipment and tooling investments, supporting strategic decision-making and project success across Production Engineering.

What you need

• Bachelor's degree in business, accounting/finance, engineering technology, or equivalent experience.

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