Business Development Manager - Machine Vision

191 Altera Corporation; San Jose (CA); On-site; USD 166,900 - 241,600; Full time

Job summary

191 Altera Corporation in San Jose, CA, seeks a Business Development Manager to drive FPGA-based solutions for global machine vision markets. You will bridge customers, product management, engineering, and ecosystem partners to win design-ins across entry to high-end vision systems.

You will lead market development, engage OEMs and system integrators, and shape a compelling value proposition with edge AI-capable FPGA architectures, addressing ICPs from cameras to autonomous inspection platforms.

Qualifications

• Bachelor’s or higher in a relevant engineering field; Master’s preferred.
• 5+ years in machine vision, imaging, or embedded edge systems; experience in industrial/automotive markets.
• Familiarity with image sensors, ISP pipelines, AI/ML fundamentals, and key interfaces (SLVS-EC, MIPI CSI-2, CoaXPress, GigE Vision, USB3 Vision).

Responsibilities

• Market Development & Strategy: identify target segments and trends in sensors, interfaces, edge AI, and multi-sensor fusion.
• Customer Engagement & Design Wins: build OEM relationships and drive early-stage engagement to influence system architecture and secure design-ins.
• Ecosystem & Partnerships: manage relationships with sensor vendors, IP providers, and system integrators to accelerate adoption.
• Sales Enablement & Execution: create collateral, optimize messaging, and support deal progression with opportunities assessments.
• Internal Collaboration: provide market feedback to product management and engineering on bandwidth, memory, and packaging.

Skills

Machine vision

Imaging systems

Embedded edge

Customer engagement

Education

Bachelor's degree in Electrical Engineering

Master's preferred

Tools

SLVS-EC

MIPI CSI-2

CoaXPress

GigE Vision

USB3 Vision

FPGA-based systems

Job description

Job Overview

We are seeking a Business Development Manager to drive growth in FPGA-based solutions in the global Machine Vision market. This role focuses on expanding design wins across a wide range of vision systems – from entry-level smart cameras to high-end multi-sensor platforms and frame grabbers. You will act as the bridge between customers, product management, engineering, and ecosystem partners to position FPGA solutions against competing architectures including ASSPs, GPUs, and microcontroller-based platforms. Machine vision is shifting toward higher data rates, multi-sensor fusion, and edge AI. FPGAs are uniquely positioned to unify sensing, processing, and control – but winning requires strong technical business leadership at the system level.

Key Responsibilities

1. Market Development & Strategy

   Identify and prioritize target segments including: Factory automation, robotics, logistics, semiconductor inspection; Automotive vision systems (ADAS, surround view, in-cabin monitoring); Transportation systems (smart traffic, transit surveillance, tolling, infrastructure monitoring). Track and interpret trends in: Sensor technologies (CMOS scaling, global shutter, stacked sensors); Interfaces (SLVS-EC, MIPI CSI-2, CoaXPress, GigE Vision, USB3 Vision); Edge AI and multi-sensor fusion architecture.

2. Customer Engagement & Design Wins

   Build relationships with OEMs, camera manufacturers, Tier-1 suppliers, and system integrators. Drive early-stage engagement with Sales to influence system architecture decisions, position FPGA-based solutions in vision and edge AI systems, secure design-ins across target applications. Support technical sales discussions spanning ISP pipelines (HDR, denoising, color processing), vision pipelines (filtering, segmentation, feature extraction), Edge AI/ML inference (CNN-based workloads). Engage in system-level discussions.

3. Ecosystem & Partnerships

   Build and manage relationships with sensor and camera module vendors, IP providers and software stack vendors, automotive Tier-1 suppliers, and transportation 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, competitive positioning vs alternative technologies, ROI/TCO analyses. Support Sales teams with use-case driven messaging, customer presentations, technical positioning, opportunity qualification, 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 I/O bandwidth and connectivity, memory architecture, Edge AI capabilities, packaging and integration. Support pricing discussions and business case development.

Qualifications

• Education: Bachelor’s Degree in Electrical Engineering, Computer Engineering, or related field (Master’s preferred).
• Experience: 5+ years in machine vision, imaging systems, or embedded edge systems; industrial, automotive, or transportation markets.
• Technical knowledge: Image sensors and camera architectures, ISP/video processing pipelines, vision algorithms, AI/ML fundamentals, key interfaces (SLVS-EC, MIPI CSI-2, CoaXPress, GigE Vision, USB3 Vision).
• Customer engagement: Engaging global customers and managing long design cycles.

Preferred Qualifications

• Experience with FPGA-based systems or FPGA solution selling.
• High-speed I/O and memory subsystems, PCIe architectures, Edge AI constraints.
• Automotive infrastructure interfaces, ISO 26262 & IEC 61508 safety considerations.
• Prior experience with camera OEMs, frame grabber companies, vision system integrators.
• MBA or business training.

Compensation

Pay range (Bay Area, California): $166.9K - $241.6K USD. We also offer incentive opportunities that reward employees based on individual and company performance.

Employment

Job Type: Regular. Shift: Shift 1 (United States of America). Primary Location: San Jose, California, United States. Additional Locations: [none specified]

AI Screening Policy

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

EEO 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.