Jobs in the United States

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Added 3 mins ago
Senior Electrical Engineer
GPAC
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Function as lead electrical engineer for multi-discipline projects, through all phases of process
Added 4 mins ago
Data Center Controls Engineer, Boling, TX
Amazon
Wharton, TX
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all…
Added 5 mins ago
Sr. Solutions Consultant
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Lead discovery sessions to understand client goals, challenges, and desired outcomes across marketing, social media, customer care and CX.
Added 5 mins ago
Lead, Manufacturing Engineering (MRO/ Plant Maintenance)
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Lead, Manufacturing Engineer responsible for the management of ERP sustainment and improvement activities covering Maintenance, Repair and Optimization (MRO) and Plant Maintenance.
Added 5 mins ago
Lead, Manufacturing Engineering (Quality)
L3Harris
Rockwall, TX
Lead, Manufacturing Engineer responsible for the management of ERP sustainment and improvement activities covering quality.
Added 5 mins ago
Lead, Manufacturing Engineering (SAP Warehouse Execution) 1
L3Harris
Rockwall, TX
Lead, Manufacturing Engineer responsible for the management of ERP sustainment and improvement activities covering Warehouse Execution.
Added 5 mins ago
Engineering Manager - Siteworks
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…Engineering functions to support successful and accurate quoting, design, manufacturing, and installation of Siteworks products. This role ensures a high level of engineering performance,…
Added 5 mins ago
E
Market Operations Engineer Lead
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Taylor, TX
- $189,800 USD / year
…proposed changes to the ERCOT wholesale market systems and design. Help ensure all wholesale market activities have been successfully completed in accordance with protocols and work closely…
Added 5 mins ago
Building Engineer
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As a CBRE Building Engineer, you will be responsible for monitoring, maintaining and repairing building system operations and the performance of various areas including plumbing,…
Added 6 mins ago
Principal Software Engineer - Simulation Data, Validation & Infrastructure
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● Lead architecture reviews, technical investigations, design decisions, and engineering standards.
Added 6 mins ago
Enterprise Architecture Manager, Senior Vice President
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In this role, you will lead the transformation of application architecture governance, software and infrastructure inventory management, data analytics capabilities, and the…
Added 6 mins ago
Principal Engineer - Digital Wealth
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Irving, TX
Lead design reviews for your team and actively participate in design reviews of related software or other team software at your location.
Added 6 mins ago
Principal Software Engineer - Agentic AI & Simulation Automation
Caterpillar, Inc.
Irving, TX
● Lead architecture reviews, technical investigations, design decisions, and engineering standards.
Added 6 mins ago
Principal Software Engineer - Digital Twin and Simulation Platform
Caterpillar, Inc.
Irving, TX
● Lead architecture reviews, technical investigations, design decisions, and engineering standards.
Added 6 mins ago
Principal Software Engineer - Robotics & Physical AI Simulation
Caterpillar, Inc.
Irving, TX
● Lead architecture reviews, technical investigations, design decisions, and engineering standards.
Added 6 mins ago
MC
Principal, Digital Security Engineer
Microsoft Corporation
Dallas, TX
- $130,900 to $272,300 USD / year
As a Principal, Digital Security Engineer you will take the lead in harnessing the power of AI to achieve customer leadership. Your efforts will be instrumental in executing solution sales…
Added 6 mins ago
Lead Planning & Optimization Advisor/Engineer
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El Paso, TX · Houston, TX · Texas City, TX · San Antonio, TX
The Value Chain Optimization (VCO) team has an opening for a Cross-Regional Planning & Optimization Advisor/Engineer. The Cross-Regional Planning & Optimization Advisor/Engineer plays a…
Added 6 mins ago
HT
Advanced Mechanical Engineer - Heat Exchangers
Honeywell Technologies
Houston, TX
- $114,000 to $163,000 USD / year
…expertise to provide UOP and its customers with knowledge of the design, specification, operation, and capabilities of heat exchangers. You will develop the product designs necessary to…
Added 6 mins ago
OneStream Lead Analytics and Insights Engineer II Manager
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Houston, TX · Fort Worth, TX · Westlake, TX · Dallas, TX
Lead the design and implementation of OneStream solutions for financial consolidation, planning, budgeting, and reporting
Added 6 mins ago
HT
Advanced Chemical Engineer- Fired Heaters
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Houston, TX
- $104,000 to $149,000 USD / year
…expertise to provide UOP and its customers with knowledge of the design, specification, operation, and capabilities of fired heaters. You will develop the product designs necessary to drive…
Added 6 mins ago
DevOps Engineer III
Deloitte
Dallas, TX · Houston, TX · Austin, TX
…Engineering Foundry, AI & E/EaaS - DevOps, you will support the design, implementation, and optimization of cloud, automation, and platform engineering solutions across complex…
Added 7 mins ago
Building Mechanical Engineer
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Houston, TX · Dallas, TX · Austin, TX · San Antonio, TX
Lead meetings and communicate with clients, vendors, and other project stakeholders to establish project needs and discuss design issues.
Added 7 mins ago
Sr Principal Application Engineer
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Austin, TX
Technical Expertise : Lead technical engagements with customers and partners to achieve best-in-class PPA, working closely with design teams to meet customer success metrics, guiding…
Added 7 mins ago
STA Application Engineer
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Added 7 mins ago
Transportation Drainage Engineer and Team Leader
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Jacobs is seeking a Transportation Drainage Engineer and Team Leader to join our Austin office in support of our South Transportation team on highway and bridge projects throughout Texas.…

Calder

Research Engineer - Data Eval

Redwood City, CA, United States

$199,000 to $483,000 USD / year

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Job details

Pay: $199,000 to $483,000 USD / year
Posting language: English
Posted: May 12, 2026

Original job description

About us:

Calder is solving the data bottleneck for embodied AI and world models. Today's AI models lack the real-world, 4D data needed to reason on spatial problems and operate in physical environments. We capture, process, and deliver high-fidelity human-generated spatial data at scale, providing the substrate that trains the next generation of generalizable models for manipulation, navigation, and interaction.

About the role:

Calder collects, curates, and quality-evaluates real-world and egocentric capture data used to train world models and robotic foundation models. Data quality is our core differentiator, and this role owns the measurement loop that proves it - from raw capture all the way to downstream model impact.

The work focuses on two forms of data evaluation:

Running ablations: training, fine-tuning, and benchmarking open-source world models and robotic policies to quantify how our collection, curation, and labeling choices actually affect downstream performance, and how we compare to public baselines.
Model-based validation of the raw data we collect to flag low-quality, corrupted, or out-of-distribution captures: catching defects like motion blur, exposure problems, dropped frames, sensor desync, calibration drift, and SLAM or stereo-depth failures to make sure problems surface early rather than after labeling.

You will also:

Help set the direction for Calder's evaluation research agenda, identifying the open problems that matter most for embodied and physical AI, and running disciplined experimental programs to chase them down.
Invent benchmarks, metrics, and methodologies that probe how frontier robotic and world models sense, reason, and act.
Run model evaluation end to end, from offline studies and A/B or regression testing to live, in-the-wild deployment, spanning diverse sensor stacks, long-tail edge cases, and real-world tasks across manipulation, navigation, and interaction.
Stand up the pipelines, dashboards, and tooling that make evaluation fast, reproducible, and largely automated for both internal teams and external partners.
Hunt for the corner cases, failure modes, and safety, privacy, and risk issues and feed what you learn back to the research and robotics teams to make the next models stronger.
Provide leadership and mentorship across cross-functional efforts, while leaning into the pace, while building out our evaluation team.

About you:

You move fast and take ownership, turning recent papers into prototypes and tools that run at scale on real sensor and trajectory data. You lead technically, mentor naturally, and partner well across research, robotics, engineering, and product. You communicate clearly, document thoroughly, and thrive in the ambiguity and pace of an early-stage company.

You should be comfortable with the ML experimentation stack (PyTorch, training/eval infrastructure, open-source model ecosystems), rigorous about experimental design, and skeptical by instinct. Experience with robotics, imitation learning, world models, computer vision models, or large-scale data pipelines is a strong plus.

A history of shipping high-impact research in fast-moving settings, backed by first-author papers at venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, RSS, ICRA, or IROS.
Sharp mathematical foundations and real depth in at least one area near the heart of physical AI evaluation, whether that's reward modeling for embodied agents (including reward hacking and specification gaming), calibration and uncertainty quantification for perception and policy models, simulation-to-real validity, or the human side of AI through active learning, annotation quality, and preference elicitation on spatial data.
Hands-on experience with modern ML systems across both research and production, with meaningful exposure to evaluating physical AI such as robotic manipulation, navigation, world models, vision-language-action models, or multimodal egocentric perception.
Fluent in Python and strong on the engineering side, comfortable building scalable data pipelines, evaluation harnesses across sim and real-world deployments, and the metrics that make embodied model quality legible.
PhD in Computer Science, Machine Learning, Robotics, Computer Vision, or a closely related discipline, ideally with a thesis or research focus that touches evaluation-adjacent topics like reward modeling, preference learning, human feedback, calibration, or automated assessment for embodied or perception systems.

Calder is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more here. https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf

By applying for this position, you consent to the collection, storage, and processing of your personal data by Calder for recruitment purposes. We will handle your information securely and in accordance with local privacy policies. Your data may be shared with authorized third-party service providers aiding in the hiring process.

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