Knitting Machine Fixer Head Job Description Sample
Knitting Machine Operator Manufacturing
Are you looking for a new job that you can start immediately? Need a job with benefits that has the opportunity to turn into a long-term career? AtWork Personnel in Cleveland, TN is currently recruiting for Knitting Machine Operator Manufacturing positions!
Schedule: 12 hour shifts (7 a.m.
7 p.m., 7 p.m.
7 a.m.), works every other weekend. Alternates 36-48 hrs per week.
Job details for Knitting Machine Operator Manufacturing positions:
Monitoring knitting machines
Repairing broken yarn as needed
Experience in hosiery industry a plus
Must be able to work 12 hour shifts and every other weekend
Must be able to stand and walk for duration of shift
Must have good "close up" vision, with or without corrective eye wear
Benefits for Knitting Machine Operator Manufacturing positions:
Eligible for Health, Vision, Dental, and Term-Life Insurance
Direct deposit available
Eligible for paid time off and paid holidays
Interested? Click the link below to apply, then call our office at to schedule your interview today!
Our office is located at 3555 Keith St NW #209 Cleveland, TN 37312.
For more information on this or other opportunities, text ATWORK to 25000.
MWC Segment Machine Head Senior System Engineer
MWC Segment Machine Head Senior System Engineer
GE Renewable Energy
Posted 10/8/2018 1:56:58 PM
Job Function: Engineering/Technology
Business Segment: Renewable Energy OnShore Wind
Location(s): United States; South Carolina; Greenville
The MWC Segment Machine Head Senior System Engineer will be responsible for defining the machine head requirements of wind turbines and ensuring the design meets these requirements. You will lead product development projects from concept through operation, RCA's, SAFER cases & field issue resolution. You will work with diverse, cross-functional teams to execute component/system trade studies and select the best designs against multiple criteria.
As the Machine Head Senior System Engineer you will:
- Lead major NPI, cost out & RCA programs for the Machine Head Subsystem
Coordinate between Engineering, Supply Chain, Field Services, & Manufacturing.
- Execute the design, analysis, or evaluation of assigned projects using sound engineering principles and adhering to business standards, practices, procedures, and product / program requirements
Own and define machine head requirements for teams throughout engineering to effectively execute programs.
- Translate DM1 requirements into more specific technical requirements for component design engineers
Work with component design engineers throughout the design process to ensure the design meets these requirements
Own the definition of interfaces between components.
Conduct 3D model reviews with PDE and component owners.
Work with other Subsystem teams as necessary to define and review interfaces between subsystems.
Perform system tradeoffs to utilize existing components, identify areas for smart margin, & identify strategic uprates.
Participate as a presenter or reviewer in technical and program reviews
Identify key product/program risks & mitigation plans
Lead EHS reviews of machine head subsystem during NPI programs and for other subsystem modifications
Drive cost-out within the machine head subsystem – from short-term execution to long-term technology strategy
Leverage, maintain and/or implement certification requirements per component and subsystems for NPI programs and for other subsystem modifications
Gather simulation, factory, laboratory and field test data to build upon existing system and component capabilities
As needed, execute SAFER cases, RCAs, etc
Assure proper documentation of technical data generated for the assigned projects and/or tasks consistent with engineering policies and procedures
Drive simplification and standardization best practices into engineering analyses, validation, and program execution
- Execute peer reviews wherever possible to minimize formal design reviews and accelerate design time
Bachelor of Science in Engineering from an accredited college or university
Minimum 8 years of experience in an engineering position
Minimum 2 years of experience in a project leadership role within an engineering environment
At least 4 years of experience in a Wind engineering position
Experience with mechanical systems & designs, including expertise with drivetrain and/or structural components
Experience with problem solving tools and techniques
Strong technical aptitude, including applicable engineering tools and systems
Strong oral and written communication skills
Strong interpersonal and leadership skills
Ability to work in a matrix team environment
EEDP Graduate (GE employees only)
Green Belt or Black Belt Certification (GE employees only)
To stay connected with exciting news and the latest job opportunities from GE businesses, follow us on twitter: @geconnections
GE Renewable Energy harnesses the earth's most abundant resources – the strength of the wind, the heat of the sun and the force of water – to power the world's biggest economies and the most remote communities.
With an innovative spirit and an entrepreneurial mindset, we engineer energy products and digital services that create industry-leading value for our customers around the world.
We see the promise of renewable energy everywhere we look. Our team has the courage, scale, passion, diversity and resourcefulness needed to deliver that promise wherever and however the world needs it.
Together with our customers, we're proving that no one ever has to choose between affordable, reliable, or sustainable energy.
We are unleashing limitless energy.
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Locations: United States; South Carolina; Greenville
GE will only employ those who are legally authorized to work in the United States for this opening.
Knitting Machine Operator
- Assure the proper supply yarn is on creels.
- Assure yarn is properly creeled. “Knots” should be small and “Tails” should be short.
- Assure the machine and creels are clean and threaded correctly.
- Maintain high level of housekeeping at all times.
- Yarn should be off boxes, empty boxes and cardboard relocated to designated location.
- Separators must be put up out of the aisles and doorways.
- Empty cones off floor
- Entire area free of lint and oil
- Floor swept and clean
- Following style change (or lot change with dyed yarns), knit the first roll and hold machine until quality check in inspection is confirmed okay.
- Continuously visually check machine and fabric for defects.
- Fill out knitting ticket properly and completely which includes defects on tickets.
Pay Range - $9.50 - $16.25
Medical, Dental, Vision, Life, STD/LTD, 401K Retirement Plan, Bring-A-Friend to work campaign ($1000), Perfect Attendance Awards, Bonus.
R & D Technician / Circular Knitting
R & D Technician Circular Knitting
Salary $85,000 - $95,000 + Great Benefits & Paid Relocation Assistance to North Carolina
This global manufacturing company needs an R & D Technician who can manage all projects and analyse off quality problems with the capacity to fix to mechanical & electrical problems. You’ll set up machines accordingly and produce an exact fabric match. You will manage all assigned tasks until they are completed.
You’ll train other associates and assist sales and marketing in solving problems including new developments. Other responsibilities include:
- Writing new proposals
- Possess specialized skills to work on all knitting equipment.
Great company offering Salary of $85,000 - $95,000 PLUS Great Benefits such as Health & 401k benefits & paid time off. Also helpful paid relocation assistance to the beautiful state of North Carolina. All the beauty of mountains, lakes, & easy access to the Atlantic Ocean!
Minimum Requirements for this position:
- Minimum of 5 years’ circular knitting experience
- Excellent written & verbal communication skills are required
- Must be able travel up to 20%
- Bilingual preferred.
TO APPLY: Email resumes to OR jeannieATaustinallenDOTcom in MS Word or PDF (please remove the capital letters and replace with proper symbols). Resumes sent with a link to an online resume or a video resume will not be considered.All Interview, relocation, & fee expenses paid by companies. Excellent compensation packages, benefits, perks, and generous relocation packages.
Some Facts You Should Know About Austin-Allen Company...
*Successfully recruiting professionals since 1973.
*One of the most successful firms in the U.S. We consistently rank in the top percentile of a large national network of Technical Recruiters.
*Many of our staff are national award winning consultants with years’ experience and are C.P.C.’s (Certified Personnel Consultants).
Areas of Specialization...
Six Sigma Black Belts
Materials / Purchasing
Quality Engineers & Managers
Stay current with our blog at austinallen.com/blog/
Loom Fixer - Weaving - Hillsville, VA - 12 Hour Nights
Mohawk Industries is the leading global flooring manufacturer that creates products to enhance residential and commercial spaces around the world. Mohawk’s vertically integrated manufacturing and distribution processes provide competitive advantages in the production of carpet, rugs, ceramic tile, laminate, wood, stone and vinyl flooring. Our industry-leading innovation has yielded products and technologies that differentiate our brands in the marketplace and satisfy all remodeling and new construction requirements. Our brands are among the most recognized in the industry and include American Olean, Bigelow, Daltile, Durkan, IVC, Karastan, Marazzi, Mohawk, Pergo, Quick-Step and Unilin. During the past decade, Mohawk has transformed its business from an American carpet manufacturer into the world’s largest flooring company with operations in Australia, Brazil, Canada, Europe, India, Malaysia, Mexico, New Zealand, Russia and the United States.
Mohawk Industries, Inc offers a comprehensive compensation package that includes a wide variety of benefit options so that individuals can tailor plans that are right for him or her. Benefits include health care with prescription card, dental/vision, disability, life insurance, 401(k) plan with company match, employee purchase discounts, tuition reimbursement for undergraduate and graduate programs and much more.
Mohawk Industries, Inc. is an Equal Opportunity Employer committed to an inclusive workplace and a proud Drugs Don’t Work participant.
EOE Minorities/Females/Protected Veterans/Disabled
Constantly patrols all parts of all machinery and checks for quality defects on section and makes overhauls, repairs, or adjustments as needed.
Perform all “check lists” type duties on style changes, new warps and maintenance looms. Supervisor may assign assistance as deemed necessary.
Performs preventive maintenance procedures on looms. Records all action on the proper forms, takes corrective action or makes recommendations for repair.
Inspect machine malfunction and woven cloth to locate problems, determine work to be done, repair, clean, adjust, lubricate, etc. as required to correct malfunction.
Repairs or replaces defective parts, adjusts tension and timing of parts using hand tools.
Levels and aligns parts to prevent excessive wear.
Assists the warp changer personnel on cleaning and start-up of looms at warp out.
Will perform routine cleaning duties.
Blow off designated looms once per shift to keep them free of dust, scrap, etc.
May be required to run a set of looms at times when we are short a weaver due to vacations, sickness, etc.
Assist weaver as needed in repairing stops and creeling fill yarn.
Mandatory – Must be able to read and write in manner indicated on application.
Preferred – Weaving and good mechanical aptitude.
Job ID 2018-38634
FLSA Status NonExempt
Job Group Manufacturing
VP, Head Of Artificial Intelligence & Machine Learning
Reporting in to the SVP Head of Data & Computational Science, the Head of AI/ML will be responsible for developing and executing the new R&D Strategy to access large databases derived from carefully genotyped and phenotyped patient populations, coupled with technological advances in data analytics, to direct drug discovery and development to a new generation of targets with significantly increased probability of success.
As the Head of AI/ML you will focus on addressing our most complex problems from drug discovery (genome analytics, compound screening, safety prediction, target validation, biological networks) through to development and the release of new medicines. Additionally, you will increase the skills and capabilities of the broader Data Science community at GSK.
Working in partnership with scientific domain experts, you will develop and implement state-of-the-art AI/Machine Learning approaches on novel R&D problems. You will also continue to advance the AI/Machine Learning discipline by evaluating unique aspects of drug discovery problems and configuring algorithms to provide a competitive advantage in disease understanding, biomarker development, target validation, speed to develop viable compound and prediction of compound success in humans (Efficacy/Safety).
GSK is seeking an expert in the application of Artificial Intelligence Machine Learning to lead us on this exciting journey where the advances in the use of AI/ML for drug discovery and development will play a significant part in bringing life-changing medicines to patients enabling them to do more, feel better and live longer.
Lead the design, build and deployment of AI/ML solutions for large and very large datasets
Provide thought-leadership to the broader R&D organization on the optimal evaluation and implementation of AI/ML
Lead a team of AI/ML data scientists in addressing our most complex problems across the drug discovery and development value-chain including but not limited to; genome analytics, compound screening, safety prediction, target validation, biological networks
Lead the rapid expansion of the AI/ML resources through personal network and professional recruitment
Lead the strategy, design and implementation of scalable, efficient, automated processes for model development, model validation and model implementation and large scale data analysis
Identify emergent trends and opportunities for additional data analytical development
Technical Skills & Experience
Advanced degree in Computer Science, Mathematics, Engineering, or related field
Demonstrated deep expertise in the Artificial Intelligence/Machine Learning field, with a record of publication on emerging capabilities
Expertise in drug discovery is preferred, but not required
Proven direct experience in the use of analytical tools, such as SPSS, R, Python, etc to develop models
Demonstrated ability to manage, retain and grow teams of data scientists
A deep knowledge of data analytics and the deployment of solutions within a diverse environment
Hands-on experience building retrospective and predictive models including clustering, classification, social network analysis, association to solve business issues;
Knowledge of and experience in planning and performance management methods and best practices, as well as emerging trends and capabilities in the areas of business improvement (project management, change management, continuous improvement).
To apply please send your CV and cover letter. Closing date for applications is Monday October 22nd.
Why You?Basic qualifications:
Advanced degree in Computer Science, Mathematics, Engineering, or related field
At GSK, our mission is to improve the quality of human life by enabling people to do more, feel better and live longer. Our three world-leading businesses research and deliver innovative medicines, vaccines and consumer healthcare products.
We need a talented and motivated workforce to deliver against our strategy. To achieve this, we strive to attract the best people and to create an environment that empowers and inspires.
GlaxoSmithKline (GSK) is a science-led, global healthcare company that researches and develops innovative products. GSK currently employ over 100,000 people globally and has offices in more than 115 countries.
The Company has major research centers in the UK, USA, and Spain, Belgium and China and an extensive manufacturing network with 84 sites globally. The Company strategy is focused around growing a diversified global business, delivering more products of value, and simplifying their operating model. Being a responsible business is central to the strategy, and how they deliver success is just as important as what they achieve.
In order to ensure they meet society's expectations, the company ensures that their values are embedded into the organisation's culture and decision-making. By investing in these areas the Company will increase growth, reduce risk and improve their long-term financial performance. GSK is a globally renowned company that owns internationally recognized brands and products. They have a healthy pipeline of innovative products and are well positioned to continue their success into the future.
You may apply for this position online by selecting the Apply now button.
If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK HR Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK.
The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
Machine Tool Operator - Experience In Machine Shop Environment With Multi-Axis Machines.
Description:Someone in this position specializes in operating one or more than one type of machine tool (e.g., jig borer, grinding machine, engine lathe, milling machine) to machine metal for use in making or maintaining jigs, fixtures, cutting tools, gauges, or metal dies or molds used in shaping or forming metal or nonmetallic material (e.g., plastic, plaster, rubber, glass). Work typically involves: planning and performing difficult machining operations which require complicated setups or a high degree of accuracy, setting up machine tool or tools (e.g., installing cutting tools and adjusting guides, stops, working tables, and other controls to handle the size of stock to be machined.
The Machine Tool Operator determines proper feeds, speeds, tooling, and operation sequence or selects those prescribed in drawings, blueprints, or layouts). Work also involves using a variety of precision measuring instruments, making necessary adjustments during machining operation to achieve requisite dimensions to very close tolerances. This worker may be required to select proper coolants and cutting and lubricating oils to recognize when tools need dressing, and to dress tools. In general, the work of a Machine-Tool Operator (Tool room) at the skill level called for in this classification, requires extensive knowledge of machine shop and tool room practice usually acquired though considerable on-the-job training and experience.
Familiar with GIBBS CAM software
Previous experience in machine shop environment working with multi-axis machines
Ability to interpret engineering drawings
Must have availability to work first, second or C (weekend) shifts.
Experience in a machine shop manufacturing environment.
Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.
Join us at Lockheed Martin, where we're engineering a better tomorrow.
Head Of Data Science And Analytics
Booking.com BV (the company behind Booking.com™) is looking for the world's top talent to support its continued development. The Senior Manager Data Science and Analytics will be responsible to drive insights and decision-making for the track based on analysis ranging from data science and machine learning models to ad-hoc analytics.
As a Senior Manager you will direct a team of 10+ data scientists and analysts combined from different business units, providing mentorship in craft and coaching from technical, business driven and managerial perspective. You will be a part of the leadership team who is responsible for setting a plan of action and crafting and executing initiatives to ensure its success.
Translate and communicate the vision of leadership to team members and translate this into Analytics roadmaps
Be responsible for leading an analytics team of 10+ data scientists and analysts and drive integration of those in the next months. Scope of the analytics teams:
Reporting and dashboarding
Data ownership and metrics definition
Ad-hoc analysis for the Product, Commercial and Strategy teams
Planning and targeting
Facilitate the prioritization of the workload of the teams and ensure quality of output
Integrate data into day-to-day business and ensure it drives decision-making
Understand the needs of the track functions (Product, Commercial, Operations, Strategy) and priorities globally to have growth/ development opportunities supported by data
Constantly align with FP&A function to ensure data quality and consistency in analysis/ definitions
Align with data infrastructure team and analytics leaders across other units to create relevant models and critical metrics for the department
Coordinate communication about analytics within and outside the track, for the benefit of the wider organization
8+ years working experience in a large e-commerce company leading Analytics field
2+ years of management experience leading multiple teams
Strong analytical skills, knowing standard methodologies in digital marketing analytics and data science
Strategic mindset, able to build and communicate vision for the function
Attention to details
Strong understanding of data landscape
Strong interpersonal skills at all levels, from analyst to C-level managers
This position is open for worldwide applicants in which we would provide visa and relocation assistance.
We ensure that we give the best 'deal' possible, to our employees. Here is what you get:
Living and working in Amsterdam, one of the most cosmopolitan cities in Europe
Giving to a high scale, complex, world-renowned product and seeing real-time impact of your work
Working in a dynamic and metrics driven culture
Career Advancement via Online and On-the-job training, Conferences and active community participation
Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com
The hiring company Booking.com BV is the company behind Booking.com™, the market leading online accommodation reservation service in the world. Booking.com BV is looking for a Head of Data Science and Analytics in Amsterdam, the Netherlands. All references to "Booking.com" refer to Booking.com BV.
Operate machines making adjustments to machines to maximize up time, rates and yields.
Read and review daily production schedule for changes and confers with department heads when necessary. Monitor and document all process parameters on a routine basis.
Maintain quality and speed control by continual adjustments of gauges that control temperature, pressure, trim, rolls (where applicable) and speed to material.
Complete daily reports including cycle time, daily production, scrap tickets, packaging, production, and downtime.
Perform general preventative maintenance on equipment. Monitor machines for mechanical problems by listening for unusual noises and visually checking gears, hoses, gauges, materials, etc.
Initiate troubleshooting and solving mechanical problems using small hand tools to make adjustments and minor repairs. If unsuccessful in making repairs, notify supervisor and/or maintenance for assistance.
Ensure adequate materials and rolls (if applicable) are available in the department for production runs. Follow equipment change procedures and thread rolls (where applicable) into machine (if applicable). Monitor quality of the product being produced and make routine adjustments to maintain specifications.
Provide guidance to other members of the department including lower level Machine Operators, Product Handlers, and Forklift Operators.
Perform changeover and set-up duties when requested.
Assist Supervisor as directed.
Keep general work area clean.
Perform other duties as assigned.
Core Skills and Qualifications:
The ideal candidate must possess all of the following:
Demonstrate minimum proficiency with the English language in order to ensure effective new hire training and on-going communications about safety and quality issues
One (1) year experience operating manufacturing equipment
Ability to work overtime as needed
Ability to work weekends as needed
Preferred skills and qualifications:
Experience using process control equipment
Mechanical and electrical troubleshooting skills
If you experience difficulty applying online, you may call (800) 545-3278 Ext 3390 or email us at email@example.com for assistance.
Dart Container is an equal opportunity employer and will consider all candidates for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.
If you have a disability and need an accommodation to access this website or for the application process, you should call Dart at (800) 545-3278 Ext 3370 or email us at ADArequests@dart.biz. Relay calls can be made by dialing 711 or the relay number for your state.
Head Of Computer Vision & 3D Graphics
ABOUT US* *
Based in San Francisco, we are a team with a passion for great design, user experience, hardware, software, and sports.
Together we share the commitment to create products that connect the human body with technology in a magical way.
We're working to become the most empowering consumer company of the 21st century.
We are a seed stage startup company backed by renowned investors such as Y Combinator and Stanford StartX.
Our first product, we are the first photorealistic 3D body scanner that shows you how your body changes over time.
It's not only a game changer for fitness but also an enabler for a number of fashion, healthcare, and AR / VR applications.
We have recently started to take pre-orders and received thousands of pre-orders worth several million Dollars.
We are looking for a talented computer vision engineer with an entrepreneurial spirit to join our team and help us achieve our technology goals.
In this role, you will work on the acquisition, processing, and analysis of the data captured by us.
A very rewarding role made for driven individuals who are excited to take on large responsibilities and solve unique technical challenges.
It’s a role that will allow you to grow your own personal, managerial and technical skill-set inside of a thriving startup environment.
Select, evaluate, test and potentially design 3D scanning methods and systems.
Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
Develop existing and new body parameterization, segmentation, correspondence, registration, posture estimation and analysis methods and algorithms.
Implement substantial portions of production code in C / C++ * Optimize code for running on CPU and GPU on embedded and non-embedded platforms
Generate and evaluate functional and design specifications
Participate in defining product requirements
Help to recruit and lead a team of computer scientist* REQUIREMENTS*
MINIMUM* MS in Computer Science, Applied Mathematics, Physics or Computer Vision
Must possess a strong background in Computer Vision / Graphics * 2 years direct academic or commercial experience minimum ️ * Experience with 3D reconstruction from camera images and depth sensors
Outstanding skills in C# and C++ with experience in writing robust and maintainable production code
Experience in developing computer vision/imaging and machine learning algorithms for embedded and non-embedded platforms
Knowledge of object classification, template matching, or other machine learning methods for computer vision
Very comfortable with 3D computational geometry, linear algebra, statistics, numerical methods and error analysis
Experience in optimization on GPU / CPU / other architectures (Metal, OpenCL, CUDA, SSE, NEON, OpenMP or other SIMD) * Experience with 3D meshes / Object reconstruction / registration / classification/ recognition
Experience with 2D and 3D tracking algorithms such as SLAM * Knowledge of WebGL / OpenGL / OpenCV/ video codec / video processing
Testing, documentation, and verification of computer vision algorithms
Training and evaluation of computer vision algorithms on large datasets
in Computer Science, Applied Mathematics, Physics or Computer Vision.
Prior experience involving 3D scanning or measurement of the human body is a big plus.
Completion and deployment of significant computer vision projects in a commercial environment.
Experience with existing computer vision libraries such as OpenCV, PCL, CGAL, Eigen, etc.
Experience with Texture projection, generation, completion using patch match algorithms.
Experience with computational imaging/photography.
Experience with machine learning algorithm such as SVM, decision forest, deep learning, etc.
Experience with embedded Linux / Linux Kernel / Drivers
Experience with imaging sensors and camera module packaging/manufacturing/calibration/testing* BENEFITS
Competitive salary and equity
Flexible work schedule, unlimited holidays with a mandatory 15 days/year off.
Great, comprehensive health insurance (100% covered) * Visa sponsorship (if needed) * Catered lunches and healthy snacks
Top of the line Apple and Windows equipment of choice that you think you need to work comfortably and efficiently * A fun, creative and collaborative environment of a young startup company with a driven, agile and adept international team
The opportunity to have an impact on millions of people and make them happier and healthier Skills C++, Computer Vision, C, OpenGL, WebGL, OpenCV, Embedded Linux, Point Cloud Library, GPU Computing, PCL, Eigen, SLAM, CGAL, 3D Scanning, object tracking/recognition, 3D reconstruction, Computer Vision (3D Vision), Depth Sensing, PCL (Point Cloud Lib), RGBD-Sensing, Intel Real Sense SDK, 3D Geometry Compensation $130K $200K and higher (DOE) 1.0% 5.0% Visa Sponsorship Available Best Regards, Kris Kris Young Account Manager BHO Tech San Jose, San Francisco CA Phone: x 823
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