ZipRecruiter

Log In

1

Ground Control Jobs in Portland, OR (NOW HIRING)

NV5

Flight Acquisition Manager

Portland, OR · On-site

... ground support coordination, onsite project coordination and client coordination. * Work daily with all Flight Department staff to determine mission priorities. * Maintain operational control of the ...

Menzies Aviation

Dispatcher

Portland, OR · On-site

Distribute incoming air traffic information to pilots/ground handlers * Follow up with updated ... Handle phone traffic * Assist in the planning and control of the gate assignment * Assist with ...

Sperber Landscape Companies

Groundman

Vancouver, WA · On-site

$18 - $25/hr

Control lowering ropes and supply tools to tree workers. * Manage road and sidewalk traffic using ... Learn to prune trees and shrubs from the ground and tie basic knots. * Use required personal ...

U.S. Navy

AIR TRAFFIC CONTROLLER

Vancouver, WA · On-site

... the ground. Navy aircraft are moving all the time, so it's your responsibility to organize air ... Providing air traffic control services in air traffic control towers, radar air traffic control ...

U.S. Navy

AIR TRAFFIC CONTROLLER

Gresham, OR · On-site

... the ground. Navy aircraft are moving all the time, so it's your responsibility to organize air ... Providing air traffic control services in air traffic control towers, radar air traffic control ...

U.S. Navy

AIR TRAFFIC CONTROLLER

Portland, OR · On-site

... the ground. Navy aircraft are moving all the time, so it's your responsibility to organize air ... Providing air traffic control services in air traffic control towers, radar air traffic control ...

previous page

Showing results 41-60

All JobsGround Control JobsGround Control Jobs in Portland, OR

Ground Control information

See Portland, OR salary details

$13

$25

$41

How much do ground control jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ground control in Portland, OR is $25.91, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $32.36 per hour, depending on experience, location, and employer.

What is ground control?

A Ground Control job involves monitoring and managing ground-based operations to ensure communication, safety, and efficiency. Responsibilities may include overseeing air or space traffic, coordinating logistics, and maintaining communication between teams. Ground Control personnel work in industries such as aviation, space exploration, and military operations. They play a critical role in ensuring smooth and safe operations by responding to incidents, analyzing data, and following protocols. This role requires strong problem-solving skills, attention to detail, and the ability to work in high-pressure environments.

What are the typical responsibilities of ground control during a shift?

As a Ground Control professional, your main responsibilities include coordinating the movement of aircraft between gates, taxiways, and runways to ensure safe and orderly ground traffic. You will communicate closely with airline personnel, pilots, ramp agents, and other air traffic controllers to manage arrivals, departures, and any unexpected events such as weather disruptions or technical issues. A typical shift involves constant monitoring of ground operations, using radio and computer systems, and quick decision-making to resolve conflicts. This role is often performed as part of a larger team within an airport control tower or operations center, where strong collaboration and attention to protocol are key to maintaining safety and efficiency.

What are the key skills and qualifications needed to thrive in ground control, and why are they important?

To thrive as Ground Control, you need strong analytical skills, attention to detail, and a solid understanding of aviation operations, typically supported by relevant training or certification in air traffic or ground operations. Familiarity with communication systems, radar technology, flight tracking software, and adherence to safety protocols is crucial. Effective teamwork, clear communication, and the ability to remain calm under pressure are vital soft skills for this role. These competencies ensure safe and efficient coordination of aircraft movements on the ground and minimize any risk of accidents or delays.

What are the most commonly searched types of Ground Control jobs in Portland, OR?

The most popular types of Ground Control jobs in Portland, OR are:

What are popular job titles related to Ground Control jobs in Portland, OR?

For Ground Control jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Ground Control jobs in Portland, OR look for?

The top searched job categories for Ground Control jobs in Portland, OR are:

What cities near Portland, OR are hiring for Ground Control jobs?

Cities near Portland, OR with the most Ground Control job openings:

Ground Control jobs near you
Infographic showing various Ground Control job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 4% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $53,901 per year, or $25.9 per hour.

Business Development Manager - Physical AI

Altera

Hillsboro, OR • On-site

Full-time

Posted 28 days ago

Job description

Job Details:Job Description:

We are seeking a Business Development Manager to drive growth in FPGA-based solutions across the Physical AI domain - spanning robotics, autonomous systems, industrial and factory automation, and edge AI. This role focuses on expanding design wins across intelligent machines that sense, decide, and act in the physical world, from collaborative robots and autonomous platforms to factory-automation controllers and edge AI appliances. You will act as the bridge between customers, product management, engineering, and ecosystem partners to position FPGA solutions against competing architectures including ASSPs/SoCs, GPUs, and microcontroller-based platforms.

Physical AI is converging perception, decision, and actuation onto real-time machines while pushing more intelligence to the edge, and industrial automation is moving toward connected, software-defined, and AI-enabled factories. FPGAs are uniquely positioned to unify deterministic control, sensor fusion, real-time networking, and edge AI inference on a single adaptable platform. As several of these markets are fast-emerging, the role includes helping establish and scale the market motion - which requires strong technical business leadership at the system level.

Key Responsibilities

1. Market Development & Strategy

Identify and prioritize target segments including:

  • Robotics: industrial and collaborative robots (cobots), autonomous mobile robots (AMR/AGV), humanoids, end-of-arm tooling

  • Autonomous systems: drones / UAVs, autonomous ground and off-road vehicles, autonomous material handling

  • Industrial and factory automation: PLC / PAC controllers, motion and servo-drive control, machine control, IIoT / edge gateways

  • Edge AI: edge AI appliances and gateways, smart cameras and sensors, on-premise inference platforms

Track and interpret trends in:

  • Edge AI and on-device inference (model deployment, quantization, AI acceleration)

  • Multi-sensor fusion (camera, LiDAR, IMU, force / torque)

  • Real-time deterministic control, multi-axis motion, and industrial networking convergence (fieldbus TSN)

  • Industry 4.0 / IIoT, predictive maintenance, and the software-defined factory

  • Robotics and autonomy software stacks (ROS / ROS2) and AI frameworks

Identify opportunities where customers require:

  • Deterministic, low-latency control and motion loops

  • High-throughput, low-power edge AI inference

  • Multi-sensor aggregation and time synchronization

  • Functional safety for human-machine collaboration

  • Reconfigurability across evolving platforms and long industrial lifecycles

2. Customer Engagement & Design Wins

  • Build relationships with robotics OEMs, industrial-automation vendors (controls, drives, machine builders), autonomous-system developers, edge AI platform vendors, module / subsystem suppliers, and system integrators

Drive early-stage engagement with Sales to:

  • Influence system and safety architecture decisions

  • Position FPGA-based solutions across control, sensing, networking, and edge AI systems

  • Secure design-ins across platforms, machines, and derivatives

  • Support technical sales discussions spanning:

  • Motor / motion control (field-oriented control, multi-axis servo, encoder interfacing)

  • Industrial control and real-time networking (PLC / PAC, EtherCAT, PROFINET, EtherNet/IP, TSN)

  • Sensor fusion and perception pipelines

  • Edge AI / ML inference (CNN- and transformer-based workloads)

  • Functional-safety implementation (safe motion, redundancy, diagnostics)

Engage in system-level discussions involving:

  • Perception planning actuation pipelines

  • Centralized vs distributed control architectures (robot, machine, and factory cell)

  • Deterministic vs GPU-based processing trade-offs

3. Ecosystem & Partnerships

Build and manage relationships with:

  • Sensor, encoder, and actuator / drive vendors

  • Industrial networking, controls, and automation-software vendors

  • IP providers and software / AI stack vendors (ROS ecosystem, vision / AI frameworks)

  • Robotics and automation module makers, ODMs, and system integrators

  • Enable joint solutions and reference designs to accelerate customer adoption

4. Sales Enablement & Execution

  • Develop high-impact sales collateral including solution briefs, reference architectures (motion control, industrial networking, sensor fusion, edge AI), competitive positioning vs FPGA / SoC / ASSP / GPU / MCU alternatives, and ROI / TCO analyses

Support Sales teams with:

  • Use-case driven messaging for robotics, autonomous systems, industrial automation, and edge AI applications

  • Customer presentations and technical positioning

  • Opportunity qualification and deal progression

  • Deliver presentations at customer meetings, industry events, and trade shows

5. Internal Collaboration

  • Provide structured market feedback to product management and engineering

  • Influence product direction based on customer needs related to:

  • Real-time I/O and deterministic networking

  • Motion-control and safety features

  • Edge AI capabilities and AI fabric

  • Power, thermal, and form-factor for embedded, mobile, and industrial deployment

  • Support pricing discussions and business case development

The pay range below is for Bay Area California only. Actual salary may vary based ona number offactors including job location, job-related knowledge, skills, experiences,trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.

$166.9K- $241.6KUSD

We use artificial intelligence to screen, assess, or select applicants for the position.Applicants must be eligible for any required U.S. export authorizations.

    Qualifications:

    Required Qualifications

    • Bachelor's Degree in Electrical Engineering, Computer Engineering, or related field (Master's preferred)


    7+ years of experience in:

    • Robotics, industrial / factory automation, autonomous systems, or edge AI / embedded systems

    • Semiconductor, module, controls, or OEM environments

    Strong understanding of:

    • Motion / motor control and real-time systems

    • Industrial control and networking concepts

    • Sensor technologies and fusion (camera, LiDAR, IMU, force / torque)

    • AI / ML fundamentals (edge inference pipelines)

    • Familiarity with key interfaces and networks:

    • EtherCAT, PROFINET, EtherNet/IP, TSN, real-time Ethernet

    • Encoder interfaces (BiSS, EnDat, SSI), MIPI CSI-2

    • Experience engaging global customers and managing long design cycles


    Preferred Qualifications

    • Experience with FPGA-based systems or FPGA solution selling

    • Understanding of high-speed I/O and memory subsystems, multi-axis motion control, and edge AI deployment constraints (latency, power, form factor)

    • Familiarity with ROS / ROS2, AI frameworks, and edge AI toolchains

    • Awareness of functional-safety and industrial standards (ISO 10218, ISO/TS 15066, IEC 61508 / SIL, IEC 61131-3, IEC 62443)

    Prior experience with:

    • Robotics OEMs or integrators

    • Industrial automation / controls / drive companies

    • Autonomous-system, drone, or AMR/AGV developers

    • Edge AI platform or appliance vendors

    • MBA or business training is a plus


    Critical Success Factors

    • Design-in mindset: Ability to engage early and secure long lifecycle platform wins

    • System-level thinking: Understanding the complete signal chain from sensing through processing to actuation

    • Execution focus: Ability to convert opportunities into pipeline and revenue

    • Customer-centric approach: Strong listening skills and ability to translate requirements into solutions

    • Ecosystem leverage: Driving wins through partnerships, not just silicon features


    KPIs / Success Metrics

    • Design wins and revenue growth across robotics, autonomous systems, industrial automation, and edge AI segments

    • Number of qualified opportunities identified in motion control, industrial networking, sensor fusion, and edge AI systems

    • Pipeline growth and forecast accuracy

    • Engagements with OEMs, automation vendors, module vendors, and system integrators

    • Contribution to sales enablement and deal progression

    Job Type: RegularShift:Shift 1 (United States of America)Primary Location:San Jose, California, United StatesAdditional Locations:Austin, Texas, United States, Oregon HillsboroPosting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

    Apply