Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The hardware sensing team is responsible for the benchmarking, characterizing, and nomination and integration of all sensors. We work cross functionally with systems, perceptions, vehicle integration to ensure the sensors meet Latitude’s ODD requirements, perception requirements, and that it is integrable and reliable in Ford’s series vehicles. We are expected to understand sensing from a first principle approach and to ensure those principles are designable and manufacturable.  We keep a breadth of all sensing technology, sensing vendors, and integration technologies. Members of the team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines–from hardware and software.

What you’ll do: 

• Lead technical development of radar or lidar sensing systems from early concept, benchmarking, and sourcing through production launch
• Define sensor performance targets, requirements, evaluation criteria, and validation plans based on vehicle, perception, and ODD needs
• Drive sensor benchmarking and technical down-selection across candidate suppliers and technologies
• Lead supplier technical engagement, including requirements reviews, data reviews, architecture discussions, issue resolution, and design maturity assessments
• Guide architecture and tradeoff decisions related to sensing performance, environmental robustness, packaging, thermal constraints, power, diagnostics, manufacturability, and cost
• Work cross-functionally with systems, perception, firmware, validation, vehicle integration, manufacturing, and quality teams to ensure the sensor meets downstream functional and program needs
• Review test data from supplier, bench, track, and vehicle testing; identify performance gaps; determine root cause; and drive corrective actions
• Assess whether supplier evidence is technically credible by reviewing test conditions, assumptions, filtering, sample quality, boundary cases, repeatability, and alignment to sensor physics and system requirements
• Lead technical reviews and challenge unsupported claims, weak correlation, incomplete validation, and conclusions that do not match observed data or first-principles behavior
• Establish technical plans, milestones, risks, and mitigation strategies to keep sensor programs on track toward nomination and launch
• Communicate technical status, open issues, and tradeoffs clearly to engineering leadership and cross-functional partners

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master's degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience)
• 8+ years of experience in automotive sensing, with deep hands-on expertise in either radar or lidar and demonstrated technical leadership on complex hardware programs
• Strong first-principles understanding of the relevant sensing modality:
  • Radar: RF fundamentals, range/Doppler/angle estimation, resolution, interference, multipath, ghosting, calibration, synchronization, and environmental effects
  • Lidar: time-of-flight or FMCW fundamentals, ranging accuracy, reflectivity effects, point cloud quality, contamination, weather impacts, optical alignment, calibration, and environmental robustness
• Strong scripting and analysis capability in python, including hands-on use of NumPy, pandas, Jupyter, and similar tools to parse logs, evaluate sensor performance, trend issues, and build repeatable analysis workflows
• Ability to work directly with sensor data and debug artifacts, including supplier logs, raw captures, decoded outputs, and vehicle test datasets, and determine whether the data is complete, valid, and physically credible
• Practical experience with day-to-day engineering tools such as Wireshark/PCAP analysis, CAN tools (CANoe/CANalyzer or similar), ROS/rosbag or equivalent logging frameworks, point cloud or radar visualization tools, and common automotive data interfaces such as CAN, CAN FD, and automotive Ethernet
• Ability to independently judge whether supplier test results are correct by evaluating test setup, calibration state, ground truth method, statistical significance, repeatability, boundary conditions, applied filters, KPI definitions, and consistency with known sensor behavior
• Ability to lead and critically assess technical design reviews (TDRs) by identifying weak assumptions, incomplete validation, inconsistent requirements traceability, misleading metrics, and conclusions that are not supported by the underlying data
• Experience translating system and perception needs into sensor requirements, validation methods, and supplier deliverables
• Experience working across hardware, firmware, systems, perception, validation, manufacturing, and supplier teams to drive root cause and resolution
• Strong technical judgment and communication skills, with the ability to make and defend tradeoffs across performance, cost, timing, integration, and reliability

Nice to have: 

• Master’s degree or PhD in Electrical Engineering, Physics, Robotics, Computer Science, or a related field
• Experience leading supplier nomination, sourcing, or technical selection for radar or lidar hardware
• Experience bringing radar or lidar systems into automotive production
• Familiarity with DV/PV, DFMEA, APQP, PPAP, functional safety, automotive quality processes, and production release expectations
• Working knowledge of perception, tracking, calibration, and downstream use of radar or lidar data in automated driving systems
• Experience supporting multiple vehicle platforms or series-production programs

What we offer you:

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave
• Paid medical leave
• Unlimited vacation
• 15 paid holidays
• Daily lunches, snacks, and beverages available in all office locations
• Pre-tax spending accounts for healthcare and dependent care expenses
• Pre-tax commuter benefits
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• Professional development reimbursement
• Employee assistance program
• Discounted programs that include legal services, identity theft protection, pet insurance, and more
• Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $191,920 - $287,880 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The hardware sensing team is responsible for the benchmarking, characterizing, and nomination and integration of all sensors. We work cross functionally with systems, perceptions, vehicle integration to ensure the sensors meet Latitude’s ODD requirements, perception requirements, and that it is integrable and reliable in Ford’s series vehicles. We are expected to understand sensing from a first principle approach and to ensure those principles are designable and manufacturable.  We keep a breadth of all sensing technology, sensing vendors, and integration technologies. Members of the team are expected to be highly multidisciplinary, as successful sensor integration requires expert understanding and comfortability of concepts across many disciplines–from hardware and software.

What you’ll do: 

• Lead technical development of radar or lidar sensing systems from early concept, benchmarking, and sourcing through production launch
• Define sensor performance targets, requirements, evaluation criteria, and validation plans based on vehicle, perception, and ODD needs
• Drive sensor benchmarking and technical down-selection across candidate suppliers and technologies
• Lead supplier technical engagement, including requirements reviews, data reviews, architecture discussions, issue resolution, and design maturity assessments
• Guide architecture and tradeoff decisions related to sensing performance, environmental robustness, packaging, thermal constraints, power, diagnostics, manufacturability, and cost
• Work cross-functionally with systems, perception, firmware, validation, vehicle integration, manufacturing, and quality teams to ensure the sensor meets downstream functional and program needs
• Review test data from supplier, bench, track, and vehicle testing; identify performance gaps; determine root cause; and drive corrective actions
• Assess whether supplier evidence is technically credible by reviewing test conditions, assumptions, filtering, sample quality, boundary cases, repeatability, and alignment to sensor physics and system requirements
• Lead technical reviews and challenge unsupported claims, weak correlation, incomplete validation, and conclusions that do not match observed data or first-principles behavior
• Establish technical plans, milestones, risks, and mitigation strategies to keep sensor programs on track toward nomination and launch
• Communicate technical status, open issues, and tradeoffs clearly to engineering leadership and cross-functional partners

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master's degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience)
• 8+ years of experience in automotive sensing, with deep hands-on expertise in either radar or lidar and demonstrated technical leadership on complex hardware programs
• Strong first-principles understanding of the relevant sensing modality:
  • Radar: RF fundamentals, range/Doppler/angle estimation, resolution, interference, multipath, ghosting, calibration, synchronization, and environmental effects
  • Lidar: time-of-flight or FMCW fundamentals, ranging accuracy, reflectivity effects, point cloud quality, contamination, weather impacts, optical alignment, calibration, and environmental robustness
• Strong scripting and analysis capability in python, including hands-on use of NumPy, pandas, Jupyter, and similar tools to parse logs, evaluate sensor performance, trend issues, and build repeatable analysis workflows
• Ability to work directly with sensor data and debug artifacts, including supplier logs, raw captures, decoded outputs, and vehicle test datasets, and determine whether the data is complete, valid, and physically credible
• Practical experience with day-to-day engineering tools such as Wireshark/PCAP analysis, CAN tools (CANoe/CANalyzer or similar), ROS/rosbag or equivalent logging frameworks, point cloud or radar visualization tools, and common automotive data interfaces such as CAN, CAN FD, and automotive Ethernet
• Ability to independently judge whether supplier test results are correct by evaluating test setup, calibration state, ground truth method, statistical significance, repeatability, boundary conditions, applied filters, KPI definitions, and consistency with known sensor behavior
• Ability to lead and critically assess technical design reviews (TDRs) by identifying weak assumptions, incomplete validation, inconsistent requirements traceability, misleading metrics, and conclusions that are not supported by the underlying data
• Experience translating system and perception needs into sensor requirements, validation methods, and supplier deliverables
• Experience working across hardware, firmware, systems, perception, validation, manufacturing, and supplier teams to drive root cause and resolution
• Strong technical judgment and communication skills, with the ability to make and defend tradeoffs across performance, cost, timing, integration, and reliability

Nice to have: 

• Master’s degree or PhD in Electrical Engineering, Physics, Robotics, Computer Science, or a related field
• Experience leading supplier nomination, sourcing, or technical selection for radar or lidar hardware
• Experience bringing radar or lidar systems into automotive production
• Familiarity with DV/PV, DFMEA, APQP, PPAP, functional safety, automotive quality processes, and production release expectations
• Working knowledge of perception, tracking, calibration, and downstream use of radar or lidar data in automated driving systems
• Experience supporting multiple vehicle platforms or series-production programs

What we offer you:

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave
• Paid medical leave
• Unlimited vacation
• 15 paid holidays
• Daily lunches, snacks, and beverages available in all office locations
• Pre-tax spending accounts for healthcare and dependent care expenses
• Pre-tax commuter benefits
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• Professional development reimbursement
• Employee assistance program
• Discounted programs that include legal services, identity theft protection, pet insurance, and more
• Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $191,920 - $287,880 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

About us

TeleTracking began with a simple but powerful belief that no one should wait for the care they need. More than a slogan, it’s a promise to continually improve healthcare.

TeleTracking builds groundbreaking technology incorporating deep clinical expertise. Our solutions are used in the nation’s largest healthcare systems and around the world to positively impact patients, families and communities.

What’s your contribution to the TeleTracking story?

When you chose to bring your passion and skills to helping achieve our purpose, you’ll be part of a team that understands that there’s a human life behind every data point.   Your skills, curiosity, and compassion—will help fuel our innovation and achieve the TeleTracking promise of revolutionizing modern healthcare. 

About the role

The Corporate Paralegal supports the Legal Department by managing and executing a broad range of corporate governance, commercial contracts, compliance, and transactional activities. This role serves as a key operational partner to Legal, Finance, Sales, Human Resources, and executive leadership by ensuring corporate records, contracts, and legal processes are accurate, compliant, and efficiently administered. The Corporate Paralegal plays a critical role in enabling business operations while mitigating legal and regulatory risk

What you will do

Contract Review & Management

• Manage the intake, review, tracking, and approval workflow for commercial contracts, including NDAs, vendor agreements, consulting agreements, amendments, and renewals
• Conduct initial reviews of contracts for completeness, consistency with approved templates, and adherence to company policies and approval authority matrices
• Coordinate contract redlines, approvals, execution, and storage in the contract lifecycle management (CLM) system
• Track key contract terms, obligations, and renewal dates to ensure compliance and timely action
• Serve as a liaison between Legal and internal stakeholders (Sales, HR, Finance, Procurement) to facilitate efficient contract execution

Employment Law Support

• Support employment-related legal matters, including drafting and reviewing offer letters, employment agreements, separation agreements, confidentiality agreements, and policy acknowledgments
• Assist Legal and HR with compliance related to employment laws, regulations, and internal policies
• Maintain employment-related records and documentation in accordance with legal and regulatory requirements
• Support investigations, audits, and responses to employment law inquiries under attorney supervision
• Monitor deadlines and assist with tracking employment claims, administrative charges, and litigation matters

Immigration Support

• Provide immigration-related paralegal support for U.S. and global mobility matters in coordination with outside immigration counsel
• Prepare, collect, and organize documentation for visa petitions, extensions, amendments, and permanent residence filings
• Track immigration case statuses, key deadlines, and expiration dates to ensure ongoing compliance
• Serve as a point of contact for employees, HR, and counsel regarding immigration processes and documentation requirements
• Maintain accurate and confidential immigration records in compliance with applicable laws and company policies

Legal Operations & Compliance

• Maintain organized legal files, contract databases, and immigration records in accordance with record retention policies
• Assist with regulatory filings, compliance reporting, and internal audits as directed
• Assist with Risk Management activities such as corporate property & liability insurance and D&O coverage for the company
• Support continuous improvement of legal processes, templates, and systems related to contracts, employment, and immigration

What we look for

• Minimum of 5 years’ experience as a corporate or transactional paralegal in a law firm or in-house legal department
• Demonstrated experience supporting corporate governance, contracts, and compliance functions
• Preferred experience working with employment and immigration matters for a corporate organization
• Experience working in a matrixed, cross-functional corporate environment preferred
• Strong understanding of corporate law concepts, entity management, and contract administration
• Excellent organizational and project management skills with strong attention to detail
• Ability to exercise sound judgment, handle confidential information, and work independently
• Strong written and verbal communication skills
• Proven ability to manage deadlines and prioritize effectively

Education

• Bachelor’s degree required

License or Certifications

• Paralegal Certificate from an ABA-approved program

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

This is a high-impact, visible role where your expertise directly translates into patient access.  You'll be instrumental in shaping our market presence and ensuring the successful adoption of a technology that is changing the standard of cardiovascular care.  Join us and make a difference! 

This role serves as the primary, expert consultant on all matters of coding, billing, and access for HeartFlow FFRct Analysis and other services. You will leverage your deep reimbursement experience to ensure our hospital and clinic partners succeed financially, while strategically aligning with our internal Sales Team.

This position will be a remote position with up to 30% travel throughout the US required. #LI-IB1

Responsibilities You Will Own:

Strategic Field Alignment & Consultation

• Act as the expert reimbursement partner embedded within the field team structure. Attend strategic sales calls to address complex coding and billing concerns, positioning Heartflow as a true consultative resource for customers.
• Collaborate with the Field Sales Team to proactively identify facilities and practices needing reimbursement education and support regarding Heartflow products.
• Educate the Sales Team on key coding updates, billing concerns, and reimbursement trends, ensuring the entire commercial team is strategically aligned and informed.
• Collaborate with the field facing "One Team" to compliantly share insights into customer needs, potential barriers, and payer issues/opportunities for patient access.

Customer Access & Billing Optimization

• Serve as the primary consultant for customer billing and administrative staff. Conduct calls or travel onsite to educate customers on the appropriate use of Category III codes, billing scenarios, and payment components.
• Provide comprehensive support throughout the full reimbursement cycle, from pre-service authorization to post-service collection.
• Support customers in optimizing their prior authorization workflow and claims appeals processes to maximize reimbursement success and minimize administrative burden.
• Conduct frequent claim reviews with practices to ensure appropriate reimbursement.
• Address and resolve patient coverage, access, and reimbursement questions from accounts, coordinating with patient services as directed by policy and procedure.

Content Strategy & Compliance

• Partner with Marketing to develop strategic educational materials (e.g., guides, presentations, FAQs) on coding, billing, and compliance for both customer and internal field team use.
• Identify, anticipate, and address patient and practice reimbursement issues by partnering with internal and external stakeholders.
• Maintain a deep understanding of Heartflow policies and industry trends to perform the role in a compliant manner consistent with company guidance.

Skills Needed:

• Deep Understanding of the Revenue Cycle: Expert knowledge of medical coding (CPT, ICD-10), payer policies, prior authorization workflows, and claims appeals processes.
• Policy Interpretation: Proven ability to interpret policies and medical necessity language to accurately identify appropriate documentation (e.g., ICD-10 codes, medical records) required for successful claim submission.
• Data Proficiency: Proficient in using the Microsoft Office Suite (Excel, Word, and PowerPoint), with advanced spreadsheet development skills for analysis and reporting.
• Cross-Functional Alignment: Proven ability to successfully collaborate and align with a direct sales force, serving as a respected consultative partner rather than a purely service-oriented resource. This requires a strategic mindset focused on enabling commercial success through access.
• Exceptional Communication: Outstanding presentation and communication skills, with the ability to translate complex reimbursement information into clear, actionable guidance for both internal teams and external customers.
• Ethical Practice: Unwavering commitment to ethical business practices and maintaining the highest level of compliance in all professional activities.

Educational Requirements & Work Experience:

• Greater than 5 years of demonstrated work experience in coding and billing managing both governmental and commercial claims reimbursement processes.
• Demonstrated medical service coding and reimbursement experience.
• Associates Degree in related field of study required.
• CPC preferred, COC preferred, cardiology experience a plus.
• Bachelor’s degree preferred.

This position is remote, however, you must be located in one of the following states as listed or be able to relocate. Please note, at this time, we are not able to sponsor re-location.

A reasonable estimate of the base salary compensation range is $90,000 to $120,000 per year and bonus.

We're looking for an On-Site Specialty Pharmacy Care Coordinator in Pittsburgh, PA to help us make specialty medications more accessible and affordable for patients. Keep reading to learn more about the role, our team and why House Rx is the right next step in your career. 

About the Role

As a pivotal member of the House Rx team, you will work closely with specialty care clinics and the House Rx team to improve the specialty pharmacy experience for oncology patients and their caregivers.  This is an onsite role at an office location in Pittsburgh, PA. 

What You’ll Do

• Complete end to end prior authorizations for specialty medications
• Source financial assistance on behalf of patients
• Process pharmacy claims
• Coordinate medication dispensing and shipping
• Dispensing functions including medication ordering, labeling and ensuring proper verification is complete
• Improve the patient experience by answering questions and requests
• Act as a liaison between the patient, their provider and the pharmacist

About You

• You have mastered all the core pharmacy technician skills, such as processing claims and dispensing medications, and are ready to expand your career
• You are comfortable engaging with patients, providers, and all members of the care team both in-person and over the phone
• You have experience navigating specialty medication benefits investigation, prior authorization, and financial assistance
• You are excited about working in a start-up environment and helping to build workflows and processes from the ground up
• You enjoy learning new technologies and are proficient in some common pharmacy software systems (QS1, ComputerRx, PioneerRx, WAM, etc). Bonus points if you have worked in EMR systems (EPIC, Cerner, NextGen, etc) or specialty pharmacy systems (Therigy, Asembia1, ScriptMed, etc)
• You are familiar with specialty medications, including medications used in autoimmune, endocrinology, and oncology. Willingness to learn therapeutic areas you are not familiar with is great
• You are a creative problem solver interested in positively impacting each patient’s pharmacy experience
• You are an initiative taking individual contributor who can also promote teamwork and collaboration amongst colleagues 
• Pharmacy technician, licensed practical nurse or similar licensure as may be required in the applicable state
• Technician registration or licensure in State of employment, national certification as CPhT is preferred

Excited about the opportunity, but worried you don’t meet all the requirements? Apply anyway, and give us both the chance to find out.

Expected Hourly Rate:  $25/hr - $32/hr

This range represents the low and high end of the anticipated base salary/wage. The actual base salary/wage will depend on several factors, including experience, knowledge, and skills. Actual compensation packages may include other elements equity, paid time off and benefits.

Why You Should Join Our Team

A career at House Rx offers the chance to work with a talented group of entrepreneurs, healthcare professionals, and technology builders who are passionate about improving specialty care and making it easier for patients to access the medication that they need.

At House Rx, we strive to build and maintain an environment where employees from all backgrounds are valued, respected and have the opportunity to succeed. You'll find a culture that supports open communication, embracing failure as a learning opportunity, and always being open to new ideas—no matter how radical. We are a remote-first company, however some pharmacy operations roles require onsite clinic presence. We’re committed to creating a positive and collaborative culture to achieve our mission, all while supporting our team members in all aspects of their lives—at home, at work and everywhere in between. 

In particular, we offer:

• Paid time off
• Generous parental leave 
• Comprehensive healthcare, vision and dental benefits
• Competitive salary and equity stake

We’re backed by forward-thinking investors committed to transforming healthcare, including Bessemer Venture Partners, First Round Capital, LRV Health, Khosla Ventures, Maverick Ventures, 1984.vc, and Character.

Location

This role will be based in Pittsburgh, PA. 

Reporting

This role will reporting into the Team Lead of Service Operations. 

Summary of Role 

Palmetto believes that happy customers are not just those installed quickest, but those whose systems provide the value they expect. The Solar Field Service technician role is focused on upholding this promise to our customer, and will work with the Services team to ensure that system performance issues are resolved swiftly and professionally.

The Solar Field Service Technician is a utility player who can support Service, Installation, Job Closeout, Permitting/Inspection, etc.  They are the go-to person to help with ongoing Services needs throughout the 25+ year lifespan of a customer’s solar system, helping to build strong lifetime customer relationships.

Strategic & Tactical

• Provide onsite troubleshooting and repair of solar systems.
• Document visit and complete job close out report.
• Schedule site visits directly with the customer when required.
• Work with local field teams and central scheduling to optimize resolution times.
• Provide feedback to field team leadership, driving continuous improvement of Palmetto’s installation quality and execution.
• Assist with close out of pre-energization issues, ensuring customer projects are expertly executed and ready to generate power from Day 1 of permission to operate.
• Provide feedback to Palmetto’s Customer Experience team, working together to ensure Palmetto’s resolution of system issues provide not just satisfaction, but an experience they will brag about to their friends and family.
• Complete other tasks as needed, including but not limited to physical site surveys, inspections, and document collection.
• Be the key Palmetto field representative to deliver great quality, experience and performance of all Service and Installation work.
• Effectively communicate with homeowners on arrival times and confirmations on an as-needed basis.

Tactical Responsibilities

• Maintain SLAs for service work site visits
• Perform O&M work and monitoring support
• Perform site surveys/site visits
• Perform partner and internal field training
• Perform safety and quality site audits and JCO reviews and manage/site inspections
• Perform field installations including PV, storage, MPU or structural upgrade
• Perform damage and claims investigations

Qualifications

• Electrical License (only required in MA, a plus elsewhere)
• 3+ years of installing, repairing, and troubleshooting residential solar & storage systems.
• General knowledge of residential home maintenance and repair, ability to go the extra mile in remediating customer issues beyond the scope of solar system maintenance.
• General construction/framing experience is a plus.
• Must be willing and able to climb ladders, stairs, work on rooftops and able to work on your feet for long periods of time
• Ability to work in extreme environments (example: hot sun, cold, rain, crawl spaces, etc.)
• Electrical experience is a plus.
• 1 year of working at heights including on rooftops, climbing ladders and stairs, and performing repetitive duties such as lifting, bending and standing for long periods of time.
• Ability to lift 50 pounds of weight frequently throughout the assigned workday.
• Ability to safely handle and maintain basic hand and power tools used for installation.
• Excellent communication skills and a professional demeanor.
• Attention to detail
• Regular, reliable and predictable attendance
• Ability to work well with others in a collaborative team environment
• Must have a valid state driver's license
• Must have a clean driving record

S&B USA, headquartered in Pittsburgh, PA, with multiple east coast regional offices is a leading infrastructure solutions company specializing in the development and construction of complex infrastructure projects, particularly through Alternative Delivery Partnerships. S&B USA offers comprehensive services, including project development, general contracting, self-performing construction, financing, and post-construction operations and maintenance. S&B USA is committed to innovation, sustainability, and community engagement, with a portfolio featuring mega projects like the Fargo-Moorhead Stormwater Diversion Channel in North Dakota and the PennDOT Major Bridge P3 Program across Pennsylvania.

S&B USA has an excellent opportunity for a Senior Counsel – Construction to join its legal team, based in Pittsburgh, PA. We are looking for a hands-on construction/infrastructure attorney who enjoys working in a collaborative team environment, possesses an energetic, results-focused, and solutions-oriented approach, and always acts with the highest level of integrity and ethical standards.

The successful candidate will be responsible for providing proactive and actionable legal guidance on various matters, including corporate, transactional, sourcing, litigation, corporate governance, compliance, labor and employment, regulatory, and other matters.

What you’ll do:

• Construction/Infrastructure Contracts: Draft, review, and negotiate complex procurement and project delivery agreements across all procurement types, including Bid-Build, Design-Build, Progressive Design-Build, and DBFOM/P3 structures (including concession/development agreements, interface and back-to-back subcontracts, design agreements, teaming agreements, utility/railroad agreements, and supplier agreements.
• P3 Projects: Coordinate with deal teams, partners, and lenders on financing agreements, review equity MOUs, engagement letters, and other related agreements, and align contracts with financing, security, and similar obligations.
• SPVs and JVs: Support equity and joint-venture creation and maintenance, including reviewing, drafting, negotiating, and managing compliance with JV and LLC Agreements. 
• Legal Templates and Playbooks; Business Enablement: Create templates and build and maintain risk matrices and playbooks for standard positions and customer-specific specifications and requirements, deliver training to operations personnel, leadership, estimators and business development on risk spotting and legal and compliance matters.
• Claims Management: Support S&B USA’s claims management processes, including DRB/mediation/arbitration preparation and strategy, advise on claims and potential claims, including those related to differing site conditions, utilities/ROW conflicts, third-party interference, force majeure, delays/disruptions, etc., and support early dispute resolution.
• Surety/Insurance/Credit: Support the structuring and negotiation, as appropriate, of General Agreements of Indemnity (GAIs) with surety partners, letters of credit, guarantees, and insurance programs.
• Cross-Functional Partnering: Work collaboratively with, support informed decision-making by, and provide advice to internal stakeholders, including preconstruction, estimating, operations, concessions, finance, and tax personnel, at all levels of the organization in a fast-paced environment. Support and lead, as appropriate, process improvement and other projects.
• Compliance: Promote, educate, and advise on compliance with all applicable laws, regulations, and policies, including government contracting and industry standards. Collaborate with cross-functional teams to develop, monitor, and implement compliance programs and training.
• General: Perform other tasks and demonstrate a passion to learn new areas of the law and business, as assigned from time to time by the EVP, Chief Legal Officer and Chief Compliance Officer or the VP, Associate General Counsel.

What you bring:

• Education:
  • Juris Doctor (JD) from an accredited law school.
  • Active membership in a state bar and, if not PA, must become licensed in PA (e.g., limited in-house license).
• Experience:
  • Minimum of five years in a large law firm and/or in-house legal department with a contractor, developer, or concessionaire with a substantial concentration in construction/infrastructure (heavy civil, transportation, bridges/tunnels, P3, etc.).
• Skills & Competencies:
  • Ability to provide clear, actionable legal advice.
  • Outstanding communication (written and oral), analytical, and interpersonal skills.
  • Commitment to teamwork, collaboration, and professionalism.
  • Ability to manage a significant volume of matters in a high-pressure environment and frequently reprioritize with good judgment and minimal direction.
  • Proactive, self-starter, with strong business acumen and sense of urgency and eagerness to take on new assignments.
  • Creative problem-solving skills and ability to propose multiple possible solutions consistent with overall business plans and strategies.

Work Environment and Benefits:

• This permanent role is based in Pittsburgh PA in an office environment with adequate lighting and ventilation, and a normal range of temperature and noise level.
• Competitive compensation (commensurate with the candidate's experience and skills), medical/dental/vision coverage, paid PTO, 401k with a company match, training, career planning, and more.

• Work assignments are diversified. Interpret, comprehend, and apply complex material, data, and instruction – prepare, provide, and convey diversified information.
• Minimal physical effort required. Work is mostly sedentary but does require walking, standing, bending, reaching, lifting, or carrying objects that typically with less than 10 lbs. (e.g., papers, books, files and small parts, etc.). Moderate dexterity – regular application of basic skills (calculator, keyboard, hand tools, eye/hand coordination.
• Work has periodic stress due to frequent goals and deadlines, and responsibility associated with the role.

About S&B USA:

S&B USA refers to all U.S. entities directly or indirectly controlled or owned by Shikun & Binui Ltd (TASE: SKBN), and is headquartered in Pittsburgh, PA. S&B USA operates through its infrastructure development and equity entity, S&B USA Concessions LLC, and multiple construction entities, including Shikun & Binui – America Inc., S&B USA Construction, and Joseph B. Fay Co (Fay). S&B USA specializes in developing and constructing complex infrastructure projects for public and private owners that transform and enhance communities. S&B USA offers expertise in design-build, value engineering, and accelerated construction delivery methods. For over 75 years, S&B USA teams in Pennsylvania, Maryland, Virginia, and North Dakota have established a reputation for building safe, innovative infrastructure projects—including roadways, bridges, dams, ports, and industrial sites.

Why Join Us?

At S&B USA Construction, we are shaping the future of infrastructure delivery through innovation, collaboration, and a relentless focus on quality. This is a rare opportunity to lead some of the most transformative infrastructure projects in the U.S. while working alongside a global network of industry leaders.

Benefit Summary:

Medical Insurance, Dental Insurance, Vision Insurance, 401K Plan with 4 % company match, Life Insurance, Disability Insurance, Paid Time Off, Paid Holidays

Core Values:

Work Safely: Safety is our Culture

Deliver Return: Earning a fair profit increases our long-term value

Value People: Take Care of Employees and They Will Take Care of Clients

Act with Integrity: Honesty Builds Trust

Provide Solutions: Better Solutions Yield Greater Satisfaction

S&B USA Construction and all its affiliate companies are committed to providing equal employment opportunities in all aspects of employment to qualified individuals without regard to the following criteria: race, color, national origin, religion, sex, pregnancy, sexual orientation, gender identity or expression, mental or physical disability, age, familial or marital status, ancestry, military status, veteran status or genetic information as well as any other prohibited criteria under any local, state or federal law applicable to S&B USA Construction. As part of the firm’s equal employment opportunity statement, S&B USA Construction will also take affirmative action to ensure that minorities, females, veterans, and qualified people with disabilities are considered for employment and promotional opportunities.

If a reasonable accommodation is needed for the interview process, please contact Human Resources at recruiting@shikunusa.com or Phone: 412-471-4200 ext. 1032

Agency Policy:  Please refer to our Agency Policy and disclaimer statement regarding resume submissions.  https://www.shikunusa.com/notice-to-staffing-agencies

#LI-LK1