ZipRecruiter

Log In

1

Permanent Ran Optimization Engineer Jobs in Newark, NJ

Fireworks AI

AI Field Engineer - Enterprise

New York, NY · On-site +1

Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using ... Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal ...

Fireworks AI

AI Field Engineer - AI Natives

New York, NY · On-site +1

Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using ... Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal ...

Deloitte

Senior Data Engineer

Morristown, NJ · Hybrid

$109K - $148K/yr

Lead design and optimization of high-volume data pipeline. * Define and enforce data engineering ... Conduct root cause analysis on production incidents and implement permanent fixes * Mentor junior ...

Deloitte

Senior Data Engineer

Jersey City, NJ · Hybrid

$110K - $150K/yr

Lead design and optimization of high-volume data pipeline. * Define and enforce data engineering ... Conduct root cause analysis on production incidents and implement permanent fixes * Mentor junior ...

Mondo

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

Permanent Compensation Range: $140-150K 10% bonus Benefits: Eligible for Health, Dental, Vision ... Strong Python skills (Understands tradeoffs, optimization, etc) * Strong SQL skills (CTEs, window ...

Brains Workgroup, Inc.

.NET Developer

Woodbridge, NJ · On-site

$48.75 - $64.50/hr

This is a permanent FT career opportunity, with base salary range 165 -185K DOE, plus around ~15-20 ... optimized to meet the needs of our business. This role combines technical expertise with a deep ...

Brains Workgroup, Inc.

.NET Developer

Woodbridge, NJ · On-site

$48.75 - $64.50/hr

This is a permanent FT career opportunity, with base salary range 155 -165K DOE, plus around ~15-20 ... optimized to meet the needs of our business. This role combines technical expertise with a deep ...

Stone Search

Senior Systems Engineer

New York, NY · Hybrid

$114K - $156K/yr

SENIOR SYSTEMS ENGINEER HYBRID - NEW YORK CITY PERMANENT RESIDENTS ONLY PERMANENT ONLY The ideal ... availability, optimal performance, and reliable data access across production environments.

next page

Showing results 1-20

All JobsPermanent Ran Optimization Engineer JobsPermanent Ran Optimization Engineer Jobs in Newark, NJ

Permanent Ran Optimization Engineer information

See Newark, NJ salary details

$42

$62

$85

How much do permanent ran optimization engineer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for permanent ran optimization engineer in Newark, NJ is $62.38, according to ZipRecruiter salary data. Most workers in this role earn between $45.24 and $76.92 per hour, depending on experience, location, and employer.

What is the difference between Permanent Ran Optimization Engineer vs Radio Network Optimization Engineer?

AspectPermanent Ran Optimization EngineerRadio Network Optimization Engineer
CredentialsBachelor's in Telecommunications, Engineering, or related field; certifications like Nokia, Ericsson, or HuaweiBachelor's in Telecommunications, Electrical Engineering, or related; similar certifications
Work EnvironmentTelecom companies, network providers, field and office settingsTelecom companies, network providers, field and office settings
Industry UsageCommonly employed in telecom industry for permanent network optimization rolesUsed interchangeably in telecom for network performance improvement roles

The Permanent Ran Optimization Engineer and Radio Network Optimization Engineer roles are highly similar, often overlapping in credentials, work environment, and industry usage. The main difference lies in terminology preference, with both focusing on optimizing radio access networks to improve coverage and performance. Both roles are essential in telecom network management and require comparable skills and certifications.

What are the key skills and qualifications needed to thrive as a Permanent RAN Optimization Engineer, and why are they important?

To thrive as a Permanent RAN Optimization Engineer, you need a solid background in telecommunications, RF engineering, and cellular network concepts, often supported by a degree in electrical engineering or a related field. Familiarity with network optimization tools (such as TEMS, Atoll, or Actix), drive test software, and relevant industry certifications (like CCNA or 5G certifications) is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills set top performers apart in this role. These skills and qualifications are crucial for ensuring optimal network performance, efficient troubleshooting, and collaboration across technical teams.

What is a Permanent RAN Optimization Engineer?

A Permanent RAN Optimization Engineer is a telecommunications professional responsible for analyzing and improving the performance of Radio Access Networks (RAN) on a long-term, full-time basis. Their main duties include monitoring network performance, identifying issues, and implementing solutions to optimize signal quality, capacity, and coverage. They work with technologies such as 4G LTE and 5G, using specialized tools to ensure efficient data and voice transmission. These engineers collaborate with other technical teams to enhance user experience and support the rollout of new network features.

How does a Permanent RAN Optimization Engineer typically collaborate with network operations and planning teams?

As a Permanent RAN Optimization Engineer, you’ll regularly collaborate with network operations and planning teams to ensure optimal radio access network (RAN) performance. Your role often involves analyzing network KPIs, sharing insights on coverage or capacity issues, and coordinating technical solutions like parameter tuning or hardware upgrades. Effective communication and cross-functional teamwork are essential, as you'll work together to identify bottlenecks, implement enhancements, and monitor post-optimization results. This collaborative approach helps deliver a high-quality mobile experience for end users.
What are popular job titles related to Permanent Ran Optimization Engineer jobs in Newark, NJ? For Permanent Ran Optimization Engineer jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Permanent Ran Optimization Engineer jobs in Newark, NJ look for? The top searched job categories for Permanent Ran Optimization Engineer jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Permanent Ran Optimization Engineer jobs? Cities near Newark, NJ with the most Permanent Ran Optimization Engineer job openings:
Permanent Ran Optimization Engineer jobs near you

AI Field Engineer - Enterprise

Fireworks AI

New York, NY • On-site, Remote

Full-time

Posted 28 days ago

Job description

About Us:
At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.
In the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice:
  • Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog)
  • Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog)
  • The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog)

The Role
AI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes.
You spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap. This is a role for engineers who are comfortable on-site with customers, building the relationships and trust that happen in person, not just over a call.
The Segment
As a Field Engineer in the Enterprise track you will work with large organizations and digital-native companies adopting GenAI across the business. These engagements span more stakeholders and longer cycles, so you will manage executive relationships and align teams while staying hands-on in the code. The emphasis is on pairing strong technical delivery with the executive presence to earn trust across an org: discovery, solution design, POC execution, and the path to production at enterprise scale.
What You'll Work On
Technical Delivery and Deployment
  • Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints.
  • For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck.
  • Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets
  • Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads.

Model Strategy and Fine-Tuning
  • Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology.
  • Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets.
  • Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores.

Customer Engagement and Stakeholder Management
  • Many of our customers exist because of GenAI. Help them bake frontier model capabilities into their core offering and turn that into a durable competitive edge.
  • Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions.
  • Own the technical relationship from first engagement through production deployment. Earn trust with ML engineers and VPs in the same meeting.
  • Spend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happens.

Product Feedback and Platform Improvement
  • Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features.
  • Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself.
  • Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency.

What We're Looking For
Minimum Qualifications
  • 5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder.
  • Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment.
  • Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.
  • Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus).
  • Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure.
  • Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon.

Preferred Qualifications
  • 10+ years in technical field or engineering roles.
  • Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads.
  • Experience operating as a technical authority inside a customer's environment building within their infrastructure, navigating their constraints, and shipping code that runs in their production systems.
  • Track record taking GenAI POCs from prototype to production-scale deployments.
  • Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex).
  • Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains.

Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.
On Target Earnings (Plus Equity)
$200,000-$260,000 USD
Why Fireworks AI?
  • Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
  • Build What's Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
  • Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI-no bureaucracy, just results.
  • Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

Apply