Designs, optimizes, and deploys machine learning models for resource-constrained edge devices, including mobile and embedded platforms. Responsibilities include model compression, quantization, pruning, hardware-aware optimization, performance profiling, production deployment, and addressing privacy and security considerations. The engineer will collaborate cross-functionally and may work with custom NPU/DSP toolchains, federated learning, on-device personalization, safety-critical deployments, and on-device LLM inference.
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Intelligent Edge Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $135,000–$155,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are looking for an Intelligent Edge Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs.
Required Qualifications
Preferred Qualifications
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Intelligent Edge Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $135,000–$155,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are looking for an Intelligent Edge Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
- Six or more years of experience in ML engineering, with significant work on edge or mobile AI.
- Strong proficiency in Python and C++.
- Hands-on experience with model compression, quantization, and pruning techniques.
- Experience with at least one major edge inference framework.
- Solid understanding of mobile and embedded hardware architectures.
- Experience deploying ML models to production on mobile or embedded platforms.
- Strong performance engineering and profiling skills.
- Familiarity with on-device privacy and security considerations.
- Strong communication and cross-functional collaboration skills.
Preferred Qualifications
- Experience with custom NPU or DSP toolchains.
- Familiarity with federated learning or on-device personalization.
- Exposure to safety-critical or industrial edge deployments.
- Open-source contributions to edge AI frameworks.
- Experience optimizing LLMs for on-device inference.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer
Similar Jobs
Manufacturing
Own a U.S. territory focused on growing multifamily business for Fortune Brands Outdoors products. Develop regional market strategies, build relationships with developers, architects, purchasing leaders, and asset managers, and drive product specifications and revenue. Partner with dealers, distributors, and internal teams to execute projects from specification through close. Manage complex stakeholder relationships independently, contribute to national contract strategies, and travel up to 50%, including approximately two overnight trips monthly.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads hands-on design, operation, and security of AWS EKS platform infrastructure. Owns Kubernetes clusters, Helm charts, IAM, networking, container security, CI/CD, GitOps, observability, and AWS CDK constructs. Partners with application teams to onboard polyglot microservices, ensures PCI DSS and organizational compliance, defines platform standards, and mentors engineers while making architectural decisions.
Top Skills:
AcmArgocdAuroraAws AlbAws CdkAws Distro For OpentelemetryAws EksAws IamAws KmsAws Secrets ManagerBedrockBitbucketC++Cloudwatch Container InsightsDockerDynamoDBEcrExternal Secrets OperatorExternal-DnsFlinkFluxGitGoGrafanaGrpcHelmHelmfileIrsaJavaJenkinsKafkaKubernetesMlflowMskOidcPci DssPostgresPrivatelinkPrometheusProtocol BuffersRdsRedis EnterpriseRoute 53RustS3SagemakerTypescriptVpc
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Develop scalable test automation frameworks, QA tools, and intelligent testing systems using Playwright, C#, and JavaScript/TypeScript. Integrate automated testing into CI/CD pipelines, build end-to-end, integration, and performance solutions, and apply AI techniques to improve test generation and defect detection. Partner with engineering and QA teams, troubleshoot reliability issues, contribute to test strategy, and mentor colleagues on automation and modern testing practices.
Top Skills:
.NetAgileAi/MlAngularAsp.NetAzureC#Ci/CdJavaScriptPlaywrightScrumSQLTypescript
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
