Jobs in the United States

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Systems Engineer
SLC
Kennesaw, GA
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Systems Engineer - New Grad (2027)
BAE Systems
Cedar Rapids, IA
Solid understanding of systems engineering development process
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Industrial/Data Analytics Engineer
BAE Systems
Greenlawn, NY
…visibility into key metrics such as safety, yield, cycle time, quality and training compliance. Additionally, you will have an opportunity to work on individual projects that support the…
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Sr. Software Development Engineer, Amazon Leo
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
We are looking for a Senior engineer with experience in supporting mission-critical applications, who are excited about building agentic solutions that enhance automation, stability, and…
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Sr. SDM, Systems Integration, Amazon Leo, D2D Software
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
Hire, coach, and grow the team, with clear expectations and career development for every engineer.
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Sr. SDM, Verification and Validation, Amazon Leo, D2D Software
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
Hire, coach, and grow the team, with clear expectations and career development for every engineer.
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Sr. SDM, Device and Partner Qualification, Amazon Leo, D2D Software
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
Hire, coach, and grow the team, with clear expectations and career development for every engineer.
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Software Development Manager, Quality and Test Strategy, Amazon Leo, D2D Software
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
This role leads quality and test strategy in Software Integration, Verification & Reliability, reporting to the Director, Software Integration, Verification & Reliability. It owns coverage…
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Senior Manager, Virtual Environments and Simulation, Amazon Leo, D2D Software
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
Hire, coach, and grow the team, with clear expectations and career development for every engineer.
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Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
Hire, coach, and grow the team, with clear expectations and career development for every engineer.
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Senior SDM, Test Infrastructure & Automation, Amazon Leo, D2D Software
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
Hire, coach, and grow the team, with clear expectations and career development for every engineer.
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Senior Manager, AI Engineering, Amazon Leo, D2D Software
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
Hire, coach, and grow the team, with clear expectations and career development for every engineer.
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Software Development Manager, Observability & Digital Thread, Amazon Leo, D2D Software
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
Hire, coach, and grow the team, with clear expectations and career development for every engineer.
Added 1 min ago
Associate Quality Technician
Munters Corporation (MUS)
Selma, TX
· Perform Quality Gate inspections by examining in-process production and following the criteria stated in the Checkmate. Document inspection results in Checkmate and complete checklists.
Added 1 min ago
Associate Quality Technician
Munters Corporation (MUS)
Selma, TX
· Perform Quality Gate inspections by examining in-process production and following the criteria stated in the Checkmate. Document inspection results in Checkmate and complete checklists.
Added 1 min ago
RU
Databricks Engineer
Randstad USA
Remote, United States
- $48.66 to $58.66 USD / hour
We are seeking an experienced Databricks Data Engineer to join our AI & Data team supporting Health & Life Sciences initiatives. In this remote role, you will design, build, and optimize…
Added 3 mins ago
Mechanical Engineer – HVAC/Building Systems
Farnsworth Group
Greenwood Village, CO · Boise, ID · Phoenix, AZ · Salt Lake City, UT
Resolve technical issues and support quality control efforts throughout the design process.
Added 5 mins ago
Data Engineer III
Expedia, Inc.
WA
Are you a data engineer looking to join a leading technology company? Are you passionate about data and everything it powers? Are you ready to help people travel, go from anywhere to…
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Sr Assoc, Optical Engineer 1 1
L3Harris Technologies
Tulsa, OK
Applicant must have a willingness to relocate to the Tulsa, OK area · Applicant must have or be able to obtain and maintain a Department of Defense security clearance
Added 6 mins ago
Service Engineer
Voith Group
York, PA
We are seeking a Service Engineer to support both customer service and internal service operations for rail gearbox and coupler products. This role bridges the gap between customer service,…
Added 6 mins ago
Senior Process Integration Engineering (Silicon Photonic)
GLOBALFOUNDRIES U.S. INC.
NY
GlobalFoundries Fab 8 is seeking an experienced professional to support the 300mm semiconductor process integration team. The core responsibilities of this team involve ownership of process…
Added 6 mins ago
Staff Program Manufacturing Engineer
Ursa Major
Berthoud, CO
The Staff Program Manufacturing Engineer is the primary manufacturing owner for one or more solid rocket motor programs, responsible for driving the product from development through…
Added 6 mins ago
Senior Program Manufacturing Engineer
Ursa Major
Berthoud, CO
The Senior Program Manufacturing Engineer is the primary manufacturing owner for one or more solid rocket motor programs, responsible for driving the product from development through…
Added 7 mins ago
AT
Principal Network Architect
Ascend Technologies
Little Rock, AR
- $155,000 to $160,000 USD / year
The Principal Network Architect is responsible for the technical design, delivery, and quality of complex network projects to support Ascend's Professional Services team and its clients.…
Added 7 mins ago
Direct Hire Process Engineer Manager
Express Employment Professionals
Hopkins, MN
MUST HAVE Plating or Chemical Engineering exp

Scale AI

Senior Software Engineer, Agent Oversight

San Francisco, CA, United States
NY, United States

$216,000 - $270,000 USD

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Pay: $216,000 - $270,000 USD
Experience: 4+ years of professional software engineering experience, with strong fundamentals in backend/distributed systems, APIs, and data pipeline design
Posting language: English
Posted: Jul 14, 2026

Original job description

About Scale

Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models - fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust.

About the Team

Applied Intelligence Systems team is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power Agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started - this team will define what dependable, production-grade agentic AI looks like.

About the Role

As a Software Engineer on Agent Oversight, you will build the platform infrastructure that lets our production agents be observed, evaluated, and improved at scale. This includes building observability tooling, evaluation harnesses, and the pipelines that connect them to improvement loops. Whether building foundational infrastructure or partnering closely with ML engineers on production workflows, you will own your systems end-to-end while maintaining rigorous technical standards.

You will:

Design and build core platform capabilities for deploying, monitoring, and evaluating agentic applications in production
Build reliable APIs and data pipelines that capture agent telemetry, evaluation signals, and performance metrics at scale
Work alongside ML engineers where platform work intersects with evaluation or improvement systems - bringing enough ML fluency to reason about model behavior, evaluation quality, and improvement loops while owning the software systems that make those workflows reliable
Own the reliability, scalability, and observability of platform components serving multiple concurrent enterprise and government customers
Work cross-functionally with product, forward deployed engineering, and customers to translate real-world deployment requirements into platform features
Build features end-to-end: system design, implementation, debugging, and testing
Participate in high-velocity experimentation to validate platform capabilities against real customer usage

Requirements:

4+ years of professional software engineering experience, with strong fundamentals in backend/distributed systems, APIs, and data pipeline design
Hands-on experience building production software for ML/LLM-powered products or platforms, such as evaluation systems, observability/monitoring, experimentation infrastructure, agent runtimes, model-serving-adjacent services, or telemetry/data pipelines
Working knowledge of how LLM or ML systems behave in production: evaluation signals, failure modes, prompt/tool-calling workflows, experiment results, data quality issues, and the tradeoffs between offline evals and live customer behavior
Experience partnering closely with ML engineers or applied researchers to turn prototypes, eval loops, or model-improvement workflows into reliable platform capabilities, without needing to own model training, modeling strategy, or research direction
Experience building infrastructure or platforms that other engineering teams build on top of (internal platform, developer tools, or similar)
Track record of taking ownership of features or components end-to-end - from design through production - within a larger platform or system
Comfortable operating in an ambiguous, fast-changing domain where tooling and best practices are still being defined
Strong problem-solving skills and the ability to work independently or as part of a tight-knit, cross-functional team
Excited to work directly with ML engineers and customer-facing teams, including challenging assumptions in designs and metrics when platform behavior, model behavior, and customer needs intersect
Gives direct, substantive feedback on designs and code, and takes it the same way - and mentors others as they grow

Nice to have:

Deep experience building or maintaining observability, monitoring, or evaluation systems for ML/LLM-powered products in production
Familiarity with agent architectures - tool use, planning, multi-agent orchestration
Exposure to MLOps, feature stores, model serving, or experiment infrastructure
Experience working in regulated or enterprise contexts
Experience reviewing others’ technical designs or mentoring engineers at a senior/staff level

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$216,000 - $270,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Apply on job-boards.greenhouse.io About employer

More about this job

Skills

ML
Research
Debugging
Industrial software
Grading systems
Problem solving
Work independently
Coaching

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Work requirements

Jobs in the United States