Engineering Geology Jobs in Ca

• Previous welding and fabricating experience preferred.
• Must be able to pass a U.S Government background check.
• Ability to work independently and on a team to complete daily activities according to work schedules.
• A valid Driver's License and clean driving record (Commercial Driver's License a plus).
• Ability to lift up to 70 lb
• Work hard in demanding environments
• Must have reliable transportation
• Must be able to pass pre-employment screenings.

• 401(k)
• 401(k) matching
• Dental Insurance
• Employee assistance program
• Employee discount
• Health insurance
• Life insurance
• Paid time off
• Referral program
• Vision insurance

• 3 years

• 8-hour shift

• Monday to Friday

• San Diego, CA: Reliably commute or plan to relocate before starting work (Required)

• Welding: 3 years (Required)
• Metal Fabrication: 3 years (Required)

• Previous welding and fabricating experience preferred.
• Must be able to pass a U.S Government background check.
• Ability to work independently and on a team to complete daily activities according to work schedules.
• A valid Driver's License and clean driving record (Commercial Driver's License a plus).
• Ability to lift up to 70 lb
• Work hard in demanding environments
• Must have reliable transportation
• Must be able to pass pre-employment screenings.

• 401(k)
• 401(k) matching
• Dental Insurance
• Employee assistance program
• Employee discount
• Health insurance
• Life insurance
• Paid time off
• Referral program
• Vision insurance

• 3 years

• 8-hour shift

• Monday to Friday

• San Diego, CA: Reliably commute or plan to relocate before starting work (Required)

• Welding: 3 years (Required)
• Metal Fabrication: 3 years (Required)

D'Leon Consulting Engineers is seeking a Contract Administrator in Los Angeles, CA

Responsibilities

• Assist LAWA with planning of procurements and setting pre‐award schedules for contracts including Board actions
• Assist in coordination of Pre‐Bid/Proposal Meetings to present the Project and RFB/RFP to potential bidder/proposers.
• Prepare drafts of RFP/RFB addenda for LAWA to review, finalize, and distribute to Planholders
• Prepare draft award recommendations and Board reports
• Conform final contract documents
• Prepare required reports and correspondence
• Attend various meetings, including pre‐bid proposal and post‐bid proposal debriefings
• Assist in Contract standardization process
• Monitor all aspects of contract compliance
• Assist in resolving problems and disagreements between contractors and LAWA
• Review contractor invoices for contractual compliance
• Conduct closeout actions upon contract completion such as final audit, payment, etc. under the direction of LAWA personnel
• Coordinate changes across the project environment, ensuring correct procedures are followed and changes are accurately recorded, scheduled and controlled
• Prepare Change Documents
• Route Change Documents for signature and tracks status
• Create and distribute change reports and analysis
• Support the project management team in maintaining timely and effective change support processes, procedures and systems
• Lead the development and maintenance of any periodic (daily, weekly, monthly) status reports to keep management and/or owner informed of change progress
• Ensure that changes properly encumber contractual capacity and budget
• Coordinate with ADP scheduling to ascertain time impacts of changes under consideration and property documents
• Assist with implementation of trend and change support programs
• Contribute to the advancement of ADP’s goals through commitment to productive collaboration with all stakeholders

Qualifications

• A Bachelor’s degree in engineering or business related field, as well as training in procurement, contract, construction and commercial law
• Minimum of 5 years of relevant experience in administration of commercial/government contracts
• Experience with Construction Management Softwares (PM Web, Primavera) and Adobe Acrobat
• Must have a self‐starter attitude with proactive, results‐oriented focus; and willing and capable to assume additional responsibilities
• Demonstrated success on the job, as evidenced by satisfactory performance, acceptance of responsibility and growth in previous positions
• Proven accuracy, reliability and completeness in job accomplishment
• Effective oral and written communication skills
• Must be able to interface with a variety of people with different technical levels and educational backgrounds
• Must be detail oriented and highly organized
• Must be able to produce accurate and timely results while maintaining a customer service attitude
• Knowledge and direct experience in SBE/DBE/MWBE program coordination preferred

D’Leon Consulting Engineers is an equal opportunity employer committed to fostering an inclusive and respectful workplace. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.

Please Find Below Job Details:

Job Title: Instructional Designer

Duration: 06 months

Location: Foster City, CA

Payrate: $62/hr - $65/hr

In this role, you’ll translate complex business requirements into engaging learning solutions, collaborating closely with subject matter experts and key stakeholders. You’ll lead the design and development of impactful, measurable courses and resources that enable teams to effectively engage with and service the company’s products.

The ideal candidate brings a strong grasp of adult learning principles and a track record of creating innovative, learner-focused training.

As an Instructional Designer, you'll:

• Design educational content rooted in instructional design principles, ensuring learning objectives align with business priorities.
• Partner with SMEs and cross-functional teams to co-create dynamic curricula (classrooms, workshops, and e-learning), using AGILE methodologies for continuous improvement.
• Create interactive online learning experiences with authoring tools, focusing on clarity, structure, and collaboration with eLearning developers, while streamlining production through evolving templates and tools.
• Assess and refine training solutions for quality, scalability, and measurable impact, incorporating leader input and aligning with brand guidelines and strategic priorities.
• Facilitate planning sessions with stakeholders and synthesize feedback into clear, actionable instructional strategies; travel up to 15% as needed.

Role specifics and target candidate profile

• Follows the ADDIE methodology -Problem solving skills -Able to create a simplified training solution around complex technical concepts -Ideally has Automotive industry background, designing trainings around high voltage/electrical systems -Very independent, able to hit the ground running with minimal oversight/direction To summarize the role in a sentence: "Someone who can take a bunch of complex technical information and synthesize it so folks from various backgrounds and technical know-how can understand and learn from."

Required skills

• Qualifications 6-8 years of instructional design experience, with a focus on blended learning, OLT, ILT, and vILT. Automotive / EV / Collision industry preferred but not required.
• 2+ years of experience in the automotive industry is preferred but not required.
• Strong conceptual design skills with the ability to visualize and articulate instructional flows and learner experiences.
• Able to work independently and collaboratively in a fast-paced environment with frequent change and limited oversight.
• Strong communicator and creative problem solver who brings curiosity, clarity, and empathy to learning design.
• Experience creating learning evaluation plans. Working knowledge of eLearning authoring tools, such as Articulate 360 (Rise & Storyline), Camtasia, Vyond, Canva, and the Adobe Creative Suite.
• Bachelor's degree in Instructional Design, Educational Technology, Engineering, or related field. Portfolio of ID work samples preferred but not required

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.

What you'll do:

• 
  
• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
  

What we're looking for:

• 
  
• M.S/ PhD degree in Computer Science, Statistics or related field.
  
• Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  
• Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  
• Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  
• Deep hands-on experience in content understanding domains, such as:
  
  • 
    
  • computer vision (classification, detection, representation learning),
    
  • NLP (text classification, entity/topic modeling),
    
  • multimodal / embedding models (e.g., transformer-based representations).
    
  
  
• Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  
• Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  
• Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Sr. Manufacturing Engineer (Mechanical) at Reliable Robotics, you'll play a critical role in developing and continuously improving all aspects of our manufacturing, installation, and supply chain processes to meet design, regulatory, and business requirements (including safety, quality, cost, and on-time delivery). This is a growing team of highly motivated people passionate about delivering quality products and services on time, with unquestionable value. You will be responsible for designing the build and installation process for mechanical, electromechanical, and/or electrical/avionics products, conducting design for excellence (DFx) reviews, and developing the processes and infrastructure to help the business scale. The projects you work on will set the foundation for how the business operates for years to come. This is a fantastic opportunity to work in a safety-critical environment that takes automated aviation systems from prototype to production in a hands-on environment.

Responsibilities

• Responsible for building, installing, testing, diagnosing, inspecting, and maintaining Reliable-designed mechanical, electromechanical, and/or electrical/avionics assemblies, harnesses, interconnects, and other commercial-off-the-shelf (COTS) products

• Conduct design for excellence (DFx) reviews to evaluate designs for cost, producibility, inspectability, consistency, adequacy, accuracy, and conformance to requirements

• Collaborate with design, quality, and certification teams to embed manufacturability, compliance, and risk mitigation in all phases of product development (e.g., prototype, R&D, certification, and production)

• Develop and ensure compliance with all policies, procedures, quality management system, and engineering change orders

• Develop processes to ensure accurate, current, and complete documentation (work instructions, inspections, tests, records, etc.) is utilized and maintained

• Lead root-cause analysis and implement timely corrective actions to maintain schedule, quality, and reliability

Basic Success Criteria

• Bachelor's degree in mechanical, electrical, aerospace, or systems engineering

• 7+ years of manufacturing, design, and/or testing experience

• 2+ years of experience with computer-aided design (CAD) and Product Lifecycle Management (PLM) software, such as Altium, NX, and Teamcenter

Preferred Criteria

• Research and Development (R&D) or New Product Introduction (NPI) experience

• Experience with industry or regulatory requirements such as AS9100, CFR 14 CFR 21.137, and/or 14 CFR Part 145

• Previous leadership or management experience

• Prior experience in troubleshooting, repairing, setting up, and operating complex hardware in a safety-critical environment

Our team is passionate about delivering on our commitments, solving hard problems, continuously improving, and helping the business succeed. We are constantly reevaluating our technologies, products, and capabilities. If you are a lifelong learner, you will love this environment. Get in on the ground floor and help us build the company.

The position will be located at our facility in Mountain View, California.

Must be willing to travel 10% of the time.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $167K - $230K

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Within our Ads Performance and Ads Delivery teams, we connect the dots between what Pinners aspire to do and the products our advertising partners offer-building personalized, discovery-driven experiences that help people create a life they love. Pinterest is just over 4,000 employees globally, which means our teams stay small, high-ownership, and fast-moving, with hands-on access to an exceptional vault of data and the chance to build and evolve large-scale recommendation and ranking systems at real-world scale.

We're hiring multipleStaff Machine Learning Engineersacross ourAds Machine Learningorg withinMonetization Engineering. In this role, you'll lead innovation across core applied ML and marketplace technologies that power our ads ecosystem-advancing our ads ranking stack, building the next generation of scalable ads retrieval models, and improving shopping discovery for millions of users. You'll also help shape the evolution of the Pinterest marketplace by designing systems and experiments that improve the ads delivery funnel, inform the utility function, and influence auction mechanisms and ad allocation-using deep analysis of marketplace dynamics to unlock new insights. Overall, this is a high-impact opportunity to define what great looks like for Pinterest Shopping Ads, directly improving both user experience and advertiser outcomes in a uniquely discovery-first marketplace.

What you'll do:

• 
  
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency
  
• Drive innovation in personalized Shopping Ads recommendations through advanced modeling
  
• Develop new methods for inferring user interests from online and offline activity
  
• Mine text, visual, user signals to better understand user intention
  
• Leverage multimodal signals (text, visual, user) to better understand user intent
  
• Collaborate with product and sales teams to design and implement new ad products
  
• Partner cross-functionally with product, sales, data science, and engineering teams to design and improve user journey and optimize ads performance across all stages of retrieval and ranking
  
• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
  
• Define and implement experiments to understand long term Marketplace effects
  
• Develop strategies to balance long and short term business objectives.
  
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
  

What we're looking for:

• 
  
• Degree in Computer Science, Machine Learning, Statistics or related field
  
• Experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
  
• Experience leading projects and mentoring team members
  
• Strong mathematical skills with knowledge of statistical methods
  
• Excellent written and verbal communication skills and strong cross-functional collaboration
  
• Background in computational advertising is a plus, but not required
  

This position is not eligible for relocation assistance.

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.

What you'll do:

• 
  
• Improve relevance and the user experience on Homefeed
  
• Work on state-of-the-art large-scale applied machine learning projects
  
• Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
  
• Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
  

What we're looking for:

• 
  
• Languages: Python, Java
  
• Machine Learning: PyTorch, Tensorflow
  
• Big data processing: Spark, Hive, MapReduce
  
• 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale
  
• 7+ years experience with large scale distributed backend service
  
• Experience in working in Deep learning and Generative AI models
  
• Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
  
• Bachelors in computer science or equivalent experience
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-DM57

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As an Avionics Mechanical Engineer at Reliable Robotics, you will be a part of the Vehicle Design and Integration team and will report to the Vehicle Design and Integration Manager. This team is a small group of highly motivated people designing, testing, and flying advanced mechanical systems. The harness engineer is a very cross-functional role at the convergence of the avionics, mechanical, integration, and production teams, with significant hands-on work designing, building, integrating, and testing our harnesses, enclosures, and mounting hardware; expect to broaden your design and application experience. This position will be located at our facility in Mountain View, California.

Responsibilities

In your role as Avionics Mechanical Engineer you will work with the avionics, mechanical, and integration teams to define the hardware interfaces, design the detailed harnesses including definition of the harness routing, design and test enclosures for environmental protection, and design the structural mounts for securing the hardware in the airplane. You'll have the opportunity to design, install, and test your hardware on a remotely operated aircraft, and you'll be an instrumental part of how our hardware teams come together on the airplane.

Basic Success Criteria

• BS in Mechanical Engineering, Electrical Engineering, or equivalent industry experience

• 2+ years experience in mechanical or avionics hardware design

• Ability to route harnessing (both in CAD and physically in the airplane) in a strategic manner

• Experience working with connectors, backshells, EMI shielding, and cable/wire protection methods

• Experience designing and analyzing structural mounts

• A love of spatial packaging

• Be logical, inquisitive, and eager to both teach and learn

Preferred Criteria

• 4+ years experience in harness design and avionics packaging

• Experience performing design trades for and detail design of aerospace flight harnesses

• Experience with NX routing and Capital Harness Designer

• Experience designing avionics enclosures

• Experience working on certification-path aviation development projects

• Experience testing hardware to DO-160 requirements

The position will be located at our facility in Mountain View, California. Must be willing to travel up to 10% of the time.

The estimated salary range for this position is $118,000 to $170,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.

In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $118K - $170K