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robotics solutions engineer robotics data collection physical ai

Innodata

<div>US Remote &ndash; Near SF Preferred (Travel as required, SFO, EWR, IGI)
Who we are:
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are the AI technology solutions provider-of-choice to 4 out of 5 of the world&rsquo;s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we&rsquo;re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We&rsquo;re poised for a period of explosive growth over the next few years.
Position Summary:
The next frontier for AI is the physical world, and Innodata is building the data factory that powers Physical AI for frontier robotics and humanoid systems. As a Robotics Solutions Engineer, you will be a trusted technical partner to some of the world&rsquo;s most innovative robotics and model‑building teams, combining hands‑on robotics/data engineering with a customer‑facing, pre‑sales to post-sales mindset. You will design and showcase data capture solutions, lead technical pilots, samples, and demos, and help customers turn real‑world robotics problems into concrete datasets, pipelines, and evaluation strategies that unlock real model and business impact. This is a high‑visibility role that directly influences strategic deals and long‑term partnerships.
Responsibilities:<ul><li>
Collaborate with Innodata Client Partners to scope and deliver technical pilots and POCs, earning the &ldquo;technical win&rdquo; with new and existing robotics customers.</li><li>
Work closely with Engineering and Product to design and implement robotics data capture solutions (real‑world, lab, and simulation), including sensors/rigs, teleop/UMI flows, and egocentric capture pipelines.</li><li>
Collaborate directly with customers&rsquo; robotics and ML teams to understand their architectures (VLMs, VLAs, ACTs, world models, policies), define data and evaluation requirements, design execution plans, and translate them into actionable Statements of Work.</li><li>
Design and run customized demos, playbooks, and experimental workflows that showcase robotics data capabilities and shorten the time from idea to production pilot.</li><li>
Act as the technical owner of the customer experience: unblock integrations, debug data/workflow issues, and advise on best practices for data quality, coverage, and evaluation.</li><li>
Collaborate closely with Robotics Project Leads to ensure clean handoff from pre‑sales design to delivery, align on scope and success metrics, and support smooth execution of data collection programs.</li><li>
Bring structured, frontline feedback from customers back into Innodata&rsquo;s product and roadmap discussions, helping shape a scalable Robotics &amp; Physical AI data practice and platform.</li><li>
Represent Innodata at key industry events, conferences, and workshops, and contribute as a thought leader through talks, blog posts, and open artifacts that share learnings from our robotics data work.</li></ul> 
<ul><li>
Strong engineering background in Robotics, Mechatronics, Computer Science, or a related field.</li><li>
3+ years of experience developing with Python and one or more additional languages commonly used in robotics/ML (e.g., C++, Java), plus comfort working in Linux‑based environments.</li><li>
Hands‑on experience with robotics or Physical AI systems (e.g., perception/control stacks, teleoperation, simulation, or robotics data pipelines).</li><li>
Desire to conduct ongoing research and be a thought leader in world models and robotics models.</li><li>
Excellent presentation and communication skills, with the technical credibility to work with both senior executives and front‑line engineers.</li><li>
Proven ability to manage complex technical projects, juggle multiple customer engagements, and operate with a strong sense of ownership and attention to detail.</li><li>
High comfort working cross‑functionally with Sales, Product, Engineering, and Operations in a fast‑moving environment, including some customer travel as needed.</li></ul>
Bonus points if you have:<ul><li>
Prior experience in sales engineering, solutions engineering, or technical partnerships for data/AI/robotics products.</li><li>
Experience selling or supporting complex technical solutions with enterprise customers.</li><li>
Familiarity with large‑scale dataset design, evaluation frameworks, or robotics data marketplaces.</li></ul> 
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission&rsquo;s guide at https://consumer.ftc.gov/articles/job-scams.
If you believe you&rsquo;ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.
#LI-NS1</div>

Robotics Solutions Engineer – Robotics Data Collection & Physical AI

Freeform

<div><h2 class="jobSectionHeader">SENIOR SOFTWARE ENGINEER (EMBEDDED)</h2>

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Senior Embedded Software Engineer at Freeform, you will be responsible for architecting and implementing critical embedded software systems that enable our advanced metal 3D printing factories to operate fully autonomously at high speeds with precision. This entails developing elegant software solutions for hardware control, high speed data acquisition, and custom high performance compute systems. Your software will effectively act as the nervous system of our fully automated metal printing factories. As a crucial member of the engineering team you will be responsible for driving the pace of innovation, maximizing development speed, and maintaining a standard of excellence within the entire engineering team.

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!

Responsibilities:
<ul>
<li>Architect state-of-the-art software for an advanced production-scale metal 3D printing system</li>
<li>Design and develop the machine instruction interface to the metal 3D printing system hardware</li>
<li>Develop software to enable the computer vision system, monitor sensor data, perform calibrations, log quality data, and keep track of the health of the printing system over its lifetime</li>
<li>Work with process and control engineers to integrate control algorithms into production software</li>
<li>Work with FPGA developers to develop high-speed data acquisition software</li>
<li>Create software for collection and analysis of process data</li>
<li>Develop software required to implement production automation solutions</li>
<li>Develop, unit test, and deploy functional, scalable, robust, and maintainable software</li>
<li>Generate and maintain documentation of designed software and integrated systems</li>
</ul>
Basic Qualifications:
<ul>
<li>5+ years of experience in software development using C/C++ and/or Rust</li>
<li>Experience in real-time embedded system design with Linux OS</li>
<li>Experience in object-oriented programming and design</li>
</ul>
Nice to Have:
<ul>
<li>Bachelor's, Master's or PhD in computer science, applied mathematics, engineering, or related field</li>
<li>Experience working in a high performance compute environment (FPGAs or GPUs)</li>
<li>Experience with PCIe driver development and troubleshooting</li>
<li>Experience with high speed data acquisition and real time closed-loop-control systems</li>
<li>Excellent knowledge of OS coding techniques, IP protocols, interfaces, and hardware subsystems</li>
<li>Experience writing software for industrial automation systems, robotics, or related hardware</li>
<li>Creative thinker able to apply first-principles reasoning to solve complex problems</li>
<li>Excellent verbal and written communication skills</li>
</ul>
Location:
<ul>
<li>Based in Hawthorne, our vertically integrated facility brings technology development, R&amp;D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.
</li>
</ul>What We Offer:
<ul>
<li>We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.</li>
<li>We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.</li>
<li>Benefits
<ul><li>Significant stock option packages</li>
<li>100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)</li>
<li>Life insurance</li>
<li>Traditional and Roth 401(k)</li>
<li>Relocation assistance provided</li>
<li>Paid vacation, sick leave, and company holidays</li>
<li>Generous Paid Parental Leave and extended transition back to work for the birthing parent</li>
<li>Free daily catered lunch and dinner, and fully stocked kitchenette</li>
<li>Casual dress, flexible work hours, and regular catered team building events</li>
</ul></li><li>Compensation
<ul><li>As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role.</li>
<li>In addition to the significant stock option package, the estimated salary range for this role is $140,000-$250,000, inclusive of all levels/seniority within this discipline.</li>
</ul></li><li>Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.</li></ul></div>

Senior Software Engineer (Embedded)

Hadrian

<div>
 
 Hadrian - Manufacturing the Future
 
 
 
 Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.
 
 
 Valued at $1.6B, we&rsquo;re accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
 
 
 Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.
 
 
 
 The Role
 
 
 
 Hadrian is building advanced software systems to automate Design for Manufacturing (DFM) analysis and accelerate precision manufacturing. Our homebuilt DFM platform analyzes design prints and CAD models to make logical, data-driven determinations about whether and how Hadrian can manufacture a part.
 
 
 We work closely with some of the best operators in the world to identify high-impact opportunities where software, computer vision, and machine learning can meaningfully augment or automate complex engineering judgment. As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models for document understanding and layout analysis
 </li>
 <li>
 Contribute to the ongoing development and refinement of current models in close collaboration within the engineering team and end users
 </li>
 <li>
 Work in every facet of the Machine Learning lifecycle - including the creation and optimization of production data pipelines, and software systems for training, inference, labeling, and evaluation
 </li>
 <li>
 Judiciously combine open-source solutions and novel research to create world-class vision systems for manufacturing applications
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
 </li>
 <li>
 5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle
 </li>
 <li>
 Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)
 
 
 </li>
 </ul>
 
 What Sets You Apart
 
 
 
 <ul>
 <li>
 A Master&rsquo;s Degree in Computer Science with focus in Artificial Intelligence or Machine Learning
 </li>
 <li>
 Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning
 </li>
 <li>
 Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications
 </li>
 <li>
 Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks
 </li>
 <li>
 Prior experience with distributed training using cloud infrastructure
 </li>
 <li>
 Prior experience with visual document understanding and layout analysis
 </li>
 <li>
 Published research or achieved SOA results on an ML application
 </li>
 <li>
 Prior experience with multi-modal deep learning models
 </li>
 <li>
 You have a passion for manufacturing and believe that the industry needs better software
 </li>
 <li>
 Prior experience working in a startup environment
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 For this role, the target salary range is $160,000 - $250,000 (actual range may vary based on experience).
 
 
 This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical, dental, vision, and life insurance plans for employees
 </li>
 <li>
 401k
 </li>
 <li>
 Relocation support may be provided for certain situations, based on business need.
 </li>
 <li>
 Flexible vacation policy
 
 
 </li>
 </ul>
 
 ITAR Requirements
 
 
 
 To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
 
 
 
 Hadrian Is An Equal Opportunity Employer
 
 
 
 It is the Company&rsquo;s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.
</div>

Machine Learning Engineer

Create Music Group

<div>Established in 2015, Create Music Group is a leading music and entertainment company. The company operates as a record label, distribution company, and entertainment network which generates over 15 billion music streams each month on DSP&rsquo;s. Named #2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has grown exponentially by leveraging its owned IP with its media and technology platform. The company works with superstar artists, major and independent record labels, and global media brands. It operates a number of companies including Label Engine, one of the largest independent music distribution platforms in the world, with over 75,000 artists and 5,000 label clients; and Flighthouse, a digital entertainment brand focused on Gen Z, which has more than 300 million followers across social media. Create Music Group is based in Hollywood, CA and has 400 employees worldwide. 
Job Summary
We are building CreateOS &mdash; a next-generation operating system for modern record labels &mdash; and AI is at the center of it. As a Machine Learning Engineer, you will be a core builder on the team responsible for designing, training, deploying, and maintaining the ML systems that power intelligent automation, forecasting, anomaly detection, and agentic workflows across the platform.
This is a hands-on engineering role for someone who is equally comfortable prototyping a new model and shipping it to production. You will work directly with the VP of AI &amp; ML Engineering and partner closely with Data Engineering, Analytics, and Product to move AI from experimentation into reliable, scalable production systems embedded in real user workflows.
Your immediate impact will be on three of CMG's highest-priority AI initiatives: M&amp;A catalog valuation forecasting, AI-driven A&amp;R discovery, and marketing automation agents &mdash; each directly tied to revenue growth and competitive differentiation. 
Responsibilities
Applied Machine Learning<ul><li>
Build and maintain ML models for forecasting, anomaly detection, classification, ranking, and optimization across music industry use cases (catalog valuation, royalty reasoning, A&amp;R intelligence, marketing performance, etc.)</li><li>
Partner with Analytics &amp; BI to identify, engineer, and validate features that drive meaningful predictive power</li><li>
Own the full ML lifecycle &mdash; from problem framing and data exploration through training, evaluation, deployment, and monitoring</li></ul>
MLOps &amp; Production Engineering<ul><li>
Deploy and monitor models in production using modern MLOps tooling</li><li>
Instrument models for performance tracking, drift detection, and continuous improvement</li><li>
Implement CI/CD, automated testing, model versioning, and observability for all ML systems</li><li>
Collaborate with Data Engineering to ensure data quality, feature delivery, and pipeline reliability</li></ul>
Agentic AI &amp; LLM Systems (Stretch)<ul><li>
Develop and maintain modular AI agents that automate multi-step workflows across CreateOS (contracts, accounting, distribution, metadata)</li><li>
Build and iterate on RAG pipelines, retrieval architectures, and semantic search systems grounded in structured business data</li><li>
Implement guardrails, evaluation frameworks, and safe action boundaries for agentic systems</li></ul>
Collaboration &amp; Communication<ul><li>
Translate business problems from non-technical stakeholders into well-scoped ML solutions</li><li>
Document model design decisions, evaluation results, and known limitations clearly</li><li>
Contribute to a culture of engineering rigor and responsible AI development</li><li>
Other duties as assigned</li></ul>
Qualifications<ul><li>
2+ years of software engineering experience in a production environment, with exposure to ML or data science work (academic, professional, or project-based); OR 2+ years of experience specifically as an ML Engineer or Applied Data Scientist</li><li>
Strong proficiency in Python and ML frameworks (PyTorch, scikit-learn, XGBoost, or similar)</li><li>
Hands-on experience building, deploying, and monitoring models in cloud environments &mdash; GCP strongly preferred (AWS or Azure acceptable); familiarity with services such as Vertex AI, BigQuery, Cloud Functions, and Cloud Run is a strong plus</li><li>
Solid understanding of modern ML techniques &mdash; supervised/unsupervised learning, time series forecasting, embeddings, ranking &mdash; and their mathematical foundations</li><li>
Experience with LLMs and prompt engineering, including building RAG systems or LLM-powered features</li><li>
Comfortable working with structured and unstructured data at scale</li><li>
Strong communication skills with the ability to explain complex model behavior to non-technical audiences</li></ul>
Preferred Qualifications<ul><li>
MS in Machine Learning, Data Science, Business Analytics, Computer Science, Statistics, or a related quantitative field &mdash; candidates using this role as their entry point into ML engineering are encouraged to apply; OR 2+ years of experience as an ML Engineer or Applied Data Scientist in lieu of an advanced degree</li><li>
Experience at a startup or high-growth technology company where you owned features end-to-end</li><li>
Familiarity with agentic frameworks (LangChain, LangGraph, AutoGen, or similar)</li><li>
Background in music, media, entertainment, or rights/royalties data</li><li>
Experience with ontology design, knowledge graphs, or semantic data modeling</li><li>
Contributions to open-source ML projects or published research</li><li>
Familiarity with AI evaluation practices &mdash; hallucination detection, bias auditing, model explainability</li></ul>
Pay Scale<ul><li>
$160,000 - $200,000 per year</li><li>
The final compensation within this range will be determined based on the candidate&rsquo;s experience, skills, and overall fit for the role.</li></ul> 
Fair Chance Policy
In accordance with the Los Angeles County Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories. We evaluate candidates based on their qualifications and the nature of the offense in relation to the job for which they are applying.</div>

Greater Los Angeles Veterans Research and Education Foundation

<div><div>Job Details:</div><ul><li>
Position: Brain Bank Technician (FT) Laboratory Skills Required.</li><li>
Brain Bank Technician with Biological laboratory bench work.</li><li>
This job is ONSITE in Los Angeles. Remote work is not available for this position.</li><li>
Biological laboratory bench work. Knowledge of medical terminology.</li><li>
RESUMES MUST CONTAIN YOUR NAME AND BE SUBMITTED AS A PDF FILE.</li></ul><div> 

Summary:</div><ul><li>
The Brain Bank Technician under the direction of the Bank Director helps in Brain Bank biological laboratory work.</li><li>
General duties include but are not limited to the following and more detailed specific directions, prioritization and updates are provided on a regular basis.</li><li>
This position requires rotating on-call responsibilities as needed, including nights, weekends, and holidays.</li></ul><div> 

Essential Duties And Responsibilities include any combination of the following. Other duties may be assigned:</div><ul><li>
Be flexible to accommodate special projects that come up regularly and are related to the work.</li><li>
Set up, operate, adjust, calibrate, troubleshoot, and maintain laboratory instruments and equipment.</li><li>
Participate in conducting a battery of laboratory analyses utilizing standard lab methods, on human specimens.</li><li>
Isolate, dissect, and prepare specimens for standardized quality assessment/assurance.</li><li>
Participate in conducting and monitoring molecular biology experiments, make observations, and calculate and record operational data and complete results to submit for discussions.</li><li>
Assist in banking human specimens while working with the donor coordinator for timely processing and preservation of incoming all brain/spinal cord tissue and fluid specimens.</li><li>
Participate in on-call rotating schedule duty without schedule restrictions. This includes evenings, weekends and after-hours receiving and preservation of incoming brain/spinal cord tissue and fluid specimens.</li><li>
Assist in a timely shipment of prepared quality assessment/assurance tested banked specimens to the requesting researchers.</li><li>
Participate in the research and development scientific processes of the Brain Bank.</li><li>
Use computers, computer-interfaced equipment, robotics or high-throughput equipment and computer applications to perform work duties.</li></ul><div> 

Qualifications:</div><ul><li>
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.</li><li>
Strong database entry skills to accurately enter detailed medical and social history and lab notes.</li><li>
Excellent knowledge of word processing tools and spreadsheets (MS Office Word, Excel etc.).</li><li>
Excellent interpersonal, written/oral communication and organizational skills.</li><li>
Ability to work independently as well as part of a team.</li><li>
Ability to design experiments and troubleshoot technical hurdles independently.</li><li>
Typically, such skills are the result of a combination of education (e.g., courses in Biology, Molecular Biology, Biochemistry, or related Biological Science area, medical terminology, personal computer operations) and working experience in a research laboratory.</li><li>
The incumbent must be able to perform this job safely, without endangering the health or safety of him/herself or others.</li></ul><div></div><div> 
Education and/or Experience:</div><ul><li>
Bachelor&rsquo;s Degree.</li>
Biological laboratory bench work. Knowledge of medical terminology is desirable. 
<li>
</li></ul><div>
Language Skills:</div>
Superior command of writing, proofreading, and communicating in the English language. 
<ul><li>
</li></ul><div>
Mathematical Skills:</div>
Ability to calculate figures and amounts such as discounts, interest, proportions, percentages, area, etc. Ability to apply concepts of business mathematics and statistical analysis. 
<ul><li>
</li></ul><div>
Reasoning Ability:</div><ul><li>
Ability to deal with problems involving multiple variables in non-standard situations.</li></ul><div> 

Physical Demands:</div><ul><li>
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.</li><li>
Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.</li><li>
While performing the duties of this job, the employee is frequently required to sit; use hands; and talk or hear.</li><li>
The employee is occasionally required to stand and walk.</li><li>
The employee must occasionally lift and/or move up to 10 pounds.</li><li>
Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus.</li></ul><div> 

Work Environment:</div><ul><li>
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.</li><li>
Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.</li><li>
While performing the duties of this job, the employee is occasionally exposed to moving mechanical parts such as the case of using a paper shredder, copier, or other standard office equipment that contains said parts.</li><li>
The noise level in the work environment is usually moderate.</li></ul></div>

Brain Bank Technician

MTS Systems Corporation

<div>Job Description:<h1 class="jobSectionHeader">
Hands-On Field Service Role</h1>
MTS designs, installs, and supports advanced test systems used by automotive, aerospace, biomedical, and industrial customers to evaluate the performance and durability of real-world products. In this role, you will work hands-on with these systems at customer sites, supporting equipment that engineers rely on every day in laboratory and test environments.<h2 class="jobSectionHeader">
What This Role Looks Like</h2>
This is a field-based, customer-facing technical role focused on installing, maintaining, calibrating, and troubleshooting complex servo-hydraulic and electro-mechanical test systems at customer sites. You will work in laboratory and test environments using tools, test equipment, and diagnostic skills to restore and optimize system performance. Training on MTS-specific technology is provided, and strong hands-on technical aptitude is essential.
Travel: This role involves regular travel to customer sites, primarily around Northern California (Bay Area), with some work in the Reno, NV area. Travel is approximately 60-80%, with heavier travel during the first year due to onboarding and training, including time at MTS headquarters in Minnesota and regional training classes. Candidates should be comfortable with a travel-oriented role and interested in working in varied customer environments.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Install, maintain, calibrate, and repair computer-controlled servo-hydraulic and electro-mechanical test systems</li><li>
Diagnose issues across controllers, hydraulics, data acquisition systems, sensors, transducers, fixtures, and grips</li><li>
Troubleshoot mechanical, electrical, and control-system issues using hands-on diagnostic methods</li><li>
Perform calibrations independently for assigned customer systems</li><li>
Manage service documentation, assigned assets, and customer communication professionally</li><li>
Work directly with customer engineering and lab teams in a service-oriented environment</li><li>
Maintain technical training and compliance with MTS quality and safety standards</li></ul><div></div><h2 class="jobSectionHeader">
Who This Role Is a Good Fit For</h2>
We are open to candidates at different stages of their careers. The common thread is hands-on technical aptitude, willingness to travel, and interest in growing into an independent field service role. Training and mentorship are provided.<h2 class="jobSectionHeader">
Pathway A: Early-Career Technical Professionals</h2>
You may be a good fit if you have:<ul><li>
Hands-on technical experience gained through internships, co-ops, labs, maintenance roles, automation, robotics, manufacturing, or military service (typically 2&ndash;4 years combined)</li><li>
An associate degree in Mechatronics, Mechanical/Electrical Engineering Technology, or similar, or a 4-year Engineering Technology degree</li><li>
Comfort working with tools, wiring, mechanical assemblies, and technical systems, with interest in growing into an independent field service role</li></ul>
Field service experience is not required for early-career candidates. Structured onboarding, shadowing, and technical training are provided.<h2 class="jobSectionHeader">
Pathway B: Experienced Technicians / Field Service Professionals</h2>
You may be a good fit if you bring:<ul><li>
5&ndash;10+ years supporting electro-mechanical, hydraulic, or industrial equipment</li><li>
Experience in field service, installation, system startup, or maintenance</li><li>
Comfort owning customer relationships and troubleshooting complex systems with minimal supervision</li></ul><div></div><h2 class="jobSectionHeader">
Core Expectations for All Candidates</h2><ul><li>
Comfort with a field-based role involving regular travel, especially during the first year, with increasing flexibility as independence grows</li><li>
Willingness to learn and follow structured training and mentorship during onboarding</li><li>
Strong communication skills and professional interaction with customers</li><li>
Valid driver&rsquo;s license and ability to meet company vehicle requirements</li></ul><div></div><h2 class="jobSectionHeader">
Experience That Is Helpful (Not Required on Day One)</h2><ul><li>
Exposure to hydraulics, instrumentation, sensors, controls, or automation</li><li>
Calibration, diagnostics, or test-equipment experience</li><li>
Hands-on mechanical and/or electrical troubleshooting</li><li>
Familiarity with common electrical and mechanical diagnostic tools and test equipment</li></ul><div></div><h2 class="jobSectionHeader">
What You&rsquo;ll Gain</h2><ul><li>
A best-in-class benefits package: http://myitwhr.com</li><li>
Direct responsibility for service and support of complex servo-hydraulic and electro-mechanical systems used in real customer test environments</li><li>
A clear path to independent responsibility in a field-based service role, supported by structured onboarding and mentorship</li><li>
Continued technical development through hands-on experience, formal training, and exposure to diverse applications</li><li>
Long-term growth opportunities within a global engineering organization</li></ul><h3 class="jobSectionHeader">
Physical Demands (MTS Global):</h3><h3 class="jobSectionHeader">
The physical demands described here are representative of those that must be met by an employee to successfully perform the 
essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 
While performing the duties of this job, the employee is required to lift 10 pounds (4.6 kilograms), lift and/or move up to 50 pounds (22.7 kilograms) frequently, and lift and/or move more than 50 pounds (22.7 kilograms) occasionally. The employee will engage in pulling/pushing, carrying, and working above their shoulder. This role requires walking, standing, sitting, stooping (bending at the back/shoulders), squatting, kneeling, bending, and in rare cases climbing activities. The employee will be required to operate a motor vehicle as part of their remote working position. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, ability to adjust focus and troubleshoot defects or abnormalities 
in the work.</h3>
Compensation Information:
$30.00 - $40.00 per hour, commensurate with experience and qualifications
ITW is an equal opportunity employer. We value our colleagues&rsquo; unique perspectives, experiences and ideas and create workplaces where everyone can develop their careers and perform to their full potential. 
As an equal employment opportunity employer, ITW is committed to equal employment opportunity and fair treatment for employees, beginning with the hiring process and continuing through all aspects of the employment relationship. 
All qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, national origin, age, disability, protected Veteran status or any other characteristic protected by applicable federal, state, or local laws.</div>

Field Service Engineer - Northern California (Bay Area) Region

Consensus Cloud Solutions

<div><div>Consensus Cloud Solutions is a publicly traded, leading digital cloud fax and interoperability solutions organization in the United States and globally, focusing on connecting and empowering healthcare providers, payers, care teams, and technology innovators to unify multiple systems that wouldn't otherwise talk to each other. Consensus is a trailblazer in our industry and believes that data transformation will reshape the world of healthcare.

Founded over 25 years ago, Consensus leverages its technology heritage to move from simple digital documents to advanced healthcare standards (HL7/FHIR) for secure data transport, as well as Natural Language Processing (NLP) and Artificial Intelligence (AI) to convert unstructured to structured, analytics-ready data, helping users unveil information that is meaningful and actionable for better patient care.
Consensus leads the industry in data exchange solutions and we're only getting started! With exciting new initiatives on the horizon, we are continuing our strategic expansion and we are looking to add to our diverse team of innovators.

Now is the ideal time to join us in our mission to solve healthcare's biggest challenges, and work collaboratively with a diverse team of like-minded self-starters and partners to accomplish it.

Consensus Cloud Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive and equitable environment for all employees. We offer many remote and hybrid career opportunities.</div>
How you will impact the organization&hellip;

The Senior Data Engineer will be responsible for designing and building the infrastructure to aggregate data from multiple sources for reporting and analytics. The role involves designing, developing and maintaining a robust data infrastructure to support data-driven decisions. Supporting the finance team, this position will lead the development of scalable data processing pipelines and building data sets from unstructured data. This position will manage all aspects of the data and analytics systems from stream configuration to ETL/ELT to aggregate tables and cubes for reporting and analytical needs. Serving as a player/coach, leading and mentoring a team of data professionals by providing guidance and support to achieve objectives. 


The value you will deliver&hellip;
<ul>
<li>The role involves designing, developing and maintaining a robust data infrastructure to support data-driven decisions.</li>
<li>Supporting the finance team, this position will lead the development of scalable data processing pipelines and building data sets from unstructured data.</li>
<li>This position will manage all aspects of the data and analytics systems from stream configuration to ETL/ELT to aggregate tables and cubes for reporting and analytical needs.</li>
<li>Serving as a player/coach, leading and mentoring a team of data professionals by providing guidance and support to achieve objectives.</li>
<li>Perform data analysis.</li>
<li>Perform other duties and responsibilities as required, assigned, or requested. Consensus reserves the right to add or change duties at any time.</li></ul> 


What you will bring to the table&hellip;
<ul>
<li>5+ years of experience in data engineering, backend infrastructure or software development.</li>
<li>Familiarity with semantic layers in data architecture.</li>
<li>Cloud and data stack familiarity: Azure, Google and AWS.</li>
<li>Experience with ETL/ELT design and development, and OLAP tools to support business applications.</li>
<li>Acquiring and preparing data from disparate sources.</li>
<li>Data quality management.</li>
<li>Expertise with API design, build, implementation and maintenance.</li>
<li>Building and maintaining data lakes/lakehouses and ingestion pipelines (files, CDC, streaming).</li>
<li>Practical experience in data governance (policies, standards, stewardship, DQ rules, issue management).</li>
<li>Strong change management record (training, communications, adoption, stakeholder alignment).</li>
<li>Comprehend core business and financial concepts, including financial statements and SaaS KPIs.</li>
<li>Ability to successfully work independently and collaborate interdepartmentally.</li>
<li>Cross-functional leadership and influencing skills.</li>
<li>Strategic vision with operational execution discipline.</li>
<li>Strong problem-solving and critical thinking skills.</li>
<li>In-depth knowledge of data architecture, including data modeling, warehousing principles, and the development of efficient data transformation pipelines.</li>
<li>Expertise in designing and deploying scalable data solutions using SQL and Python, with a focus on data transformation, automation and analytics.</li>
<li>Extensive experience with modern data platforms and tools, particularly Databricks and Airflow, with a demonstrated ability to harness their full capabilities.</li>
<li>Knowledge of standard engineering productivity tools such as Github, JIRA, Confluence, etc.</li>
<li>Data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).</li>
<li>Experience with scheduling tools (e.g., Airflow or Composer).</li>
<li>BI tools Tableau and PowerBI.</li>
<li>Automate manual processes, monitor system performance, troubleshoot issues, and continually optimize data infrastructure for efficiency and reliability.</li>
<li>Using AI to facilitate automated pipeline creation, data cleaning and monitoring to scale and optimize processes.</li></ul> 


You will stand out if you also have&hellip;
<ul>
<li>Bachelor's degree in Computer Science, Engineering or a Quantitative related field.</li></ul> 


Additional details&hellip;
<ul>
<li>Location requirements: Fully remote within the U.S. (Los Angeles or Las Vegas preferred.)</li>
<li>Travel requirements: Up to 10% travel.</li>
<li>Physical requirements: Must be able to sit for long periods, as well as, handle long periods of screen time.</li>
<li>Technology requirements: Reliable, high speed internet.</li>
<li>Eligible for sponsorship: No</li></ul> 
The salary range for this role is $175,000-$190,000 USD annually. The total compensation package for this position is negotiable and may also include annual performance bonus, ESPP, enhanced time off packages and benefits. This job doesn't have an expiration date and will remain open until a qualified candidate is hired.<div>
We are not accepting agency submissions for this role.

To learn more about us visit consensus.com</div></div>

Senior Data Engineer- Finance

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