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Mlse Jobs (NOW HIRING)

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How much do mlse jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for mlse in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What are MLSE jobs?

MLSE stands for Maple Leaf Sports & Entertainment, a company that owns and operates several major sports teams and venues in Toronto. MLSE jobs range from positions in sports management, marketing, sales, operations, and customer service to roles in hospitality, event planning, and facility maintenance. Employees at MLSE work to support teams such as the Toronto Maple Leafs, Toronto Raptors, Toronto FC, and Toronto Argonauts, as well as events at venues like Scotiabank Arena. Working at MLSE can provide unique opportunities to be part of the sports and entertainment industry, contribute to memorable fan experiences, and grow professionally in a dynamic environment.

What are some common challenges faced by employees working at MLSE, and how can new hires prepare for them?

At MLSE (Maple Leaf Sports & Entertainment), employees often face the challenge of working in a fast-paced environment where priorities can shift quickly, especially during major sporting events or concerts. New hires may need to adapt quickly to changing schedules and collaborate with a variety of departments, such as event operations, marketing, and guest services. To succeed, it’s helpful to be flexible, communicate proactively, and show a willingness to pitch in wherever needed. MLSE values teamwork and innovation, so embracing a collaborative mindset and being open to learning from colleagues will help you thrive.

What is the difference between Mlse vs Real Estate Agent?

AspectMlseReal Estate Agent
CredentialsMLS membership, real estate licenseReal estate license, MLS access
Work EnvironmentReal estate listings, client interactionsClient meetings, property showings
Industry UsageMLS platform member, listing managementSales, client representation

While Mlse refers to the Multiple Listing Service platform used by real estate professionals, a Real Estate Agent is a licensed individual who uses the MLS to list and sell properties. Mlse is a tool or platform, whereas a Real Estate Agent is a professional role that actively interacts with clients and listings within the MLS system.

What are the key skills and qualifications needed to thrive as an MLSE (Machine Learning Software Engineer), and why are they important?

To thrive as a Machine Learning Software Engineer, you need a strong background in computer science, mathematics, and statistics, typically supported by a relevant degree and experience with machine learning concepts. Proficiency with tools like Python, TensorFlow or PyTorch, and familiarity with cloud platforms or version control systems is commonly required. Strong problem-solving skills, effective communication, and the ability to work collaboratively help individuals excel in this role. These competencies are crucial for developing robust, scalable machine learning solutions that address real-world business challenges.
More about Mlse jobs
What cities are hiring for Mlse jobs? Cities with the most Mlse job openings:
Infographic showing various Mlse job openings in the United States as of July 2026, with employment types broken down into 42% Full Time, and 58% Part Time. Highlights an 100% Physical job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Principal / Lead DSP & Systems Architect -- Ultra High-Speed SerDes

Omni Design Technologies

Milpitas, CA

Full-time

Re-posted yesterday


Job description

About the Company

Omni Design Technologies provides high-performance, ultra-low power IP solutions across advanced CMOS nodes, enabling differentiated SoC architectures for AI/ML accelerators, hyperscale datacenter interconnects, optical networks, and next-generation wireline platforms. We partner with market leaders globally and are scaling rapidly, and are seeking senior technical leadership to define the next generation of ultra high-speed SerDes IP at 448G and beyond.

Job Description

We are seeking a Principal / Lead DSP & Systems Architect to own the architectural direction of ultra high-speed SerDes platforms targeting 448G per lane and emerging post-448G standards, spanning both electrical (chip-to-chip, backplane, copper cable) and optical (IM-DD and coherent) interfaces. This individual will drive end-to-end link architecture, DSP algorithm design, and ADC/DAC-based transceiver partitioning, serving as the primary technical interface with strategic customers and standards bodies.

The ideal candidate combines deep expertise in high-speed link theory, advanced equalization and FEC, PAM/multi-level and coherent signaling, and hardware-aware DSP implementation, with a track record of delivering SerDes IP into silicon at the bleeding edge of the wireline and optical roadmap.

Key Responsibilities

Architecture & Roadmap: Define DSP and system architecture for 448G and post-448G SerDes IP across electrical and optical interfaces — including ADC/DAC-based transceiver partitioning, modulation choice (PAM4/PAM6, IM-DD, coherent), and FEC strategy — and shape long-term roadmap toward 1.6T and 3.2T link aggregates.

Customer & Standards Engagement: Lead technical engagement with hyperscale, AI accelerator, and optical module customers; represent the company in OIF CEI, IEEE 802.3, and related standards activities.

End-to-End Link Modeling: Build and maintain MATLAB/Python models of the full link across electrical and optical media: channel response (backplane, copper cable, chip-to-chip, fiber), TX/RX impairments, jitter (RJ/DJ/BUJ), crosstalk, reflections, optical impairments (CD, PMD, laser phase noise, optical SNR), ADC/DAC quantization, and FEC performance under realistic BER/FLR targets.

DSP Algorithm Architecture: Own the DSP pipeline across electrical and optical paths — FFE, DFE, MLSE/MLSD, CTLE-DSP partitioning, adaptive equalization (LMS, sign-sign LMS, blind adaptation), timing recovery and CDR, baseline wander correction, IQ/skew calibration, PAM demapping, and integration with KP4 / concatenated / soft-decision FEC. For optical links, additionally drive chromatic dispersion (CD) compensation, polarization demultiplexing, carrier phase and frequency recovery, and nonlinear compensation.

Mixed-Signal Co-Design: Drive ADC/DAC architectural decisions — sample rate, resolution (ENOB), time-interleaving, calibration strategy — and align analog front-end, CTLE, and clocking specs with DSP performance budgets.

Fixed-Point & Implementation Trade-offs: Drive wordlength optimization, parallelism and pipelining strategies for multi-hundred-GSps datapaths, and float-to-fixed methodology to balance BER performance, area, and pJ/bit power efficiency.

Specifications & Cross-Domain Integration: Generate block-level specs for DSP datapaths, FEC, calibration, ADC/DAC, AFE, and clocking; align decisions across digital, mixed-signal, packaging, and SI/PI domains.

DSP-to-RTL Handoff: Translate DSP reference models into hardware-friendly architectures with bit-true/cycle-accurate alignment, and partner with RTL and verification teams on micro-architecture, latency, and memory trade-offs.

Silicon Bring-up & Validation: Partner with validation and lab teams to correlate post-silicon BER, eye, and link-training results with modeled assumptions; define KPIs (BER, FLR, link margin, power, latency) and debug methodologies.

Mentorship & Thought Leadership: Guide DSP, systems, and hardware engineers; develop reusable models and best practices; contribute to architecture reviews, IP innovation strategy, and customer-facing technical engagements.

Qualifications
  • Graduate degree in EE, Communications, or Signal Processing; PhD strongly preferred.
  • 10+ years in high-speed SerDes or wireline/optical link DSP/systems architecture, with direct exposure to 112G/224G silicon and a clear path into 448G and beyond across electrical and optical interfaces.
  • Proven ownership of end-to-end link budgets with cascaded impairment analysis across channel (electrical and/or optical), AFE, ADC/DAC, DSP, and FEC.
  • Deep expertise in: PAM4/PAM6 and coherent wireline/optical signaling; advanced equalization (FFE, DFE, MLSE/MLSD, Tomlinson-Harashima); optical DSP (CD/PMD compensation, polarization recovery, carrier phase/frequency recovery) for candidates with optical exposure; adaptive algorithms and link training; KP4 and soft-decision FEC; high-speed ADC/DAC architectures (time-interleaved, calibration, ENOB-driven design); CDR and timing recovery at multi-hundred-Gbaud rates; jitter/crosstalk/SI and optical impairment modeling; fixed-point DSP and bit-true modeling; MATLAB/Python link simulation; DSP-to-RTL methodology.
  • Familiarity with OIF CEI (CEI-224G, CEI-448G), IEEE 802.3 high-speed Ethernet, and relevant optical standards (e.g., OIF coherent agreements, IEEE 802.3 optical PHYs).
  • Track record of defining specs consumed by RTL, DSP, mixed-signal, verification, and validation teams.
  • Strong communication skills with VP- and CTO-level stakeholders at hyperscale and module customers.
What We Offer
  • Highly competitive compensation, performance incentives, and substantial technical influence.
  • Direct ownership of DSP and systems architecture for SerDes IP at the bleeding edge of the wireline and optical roadmap.
  • Strategic relationships with top-tier hyperscale, AI, and optical customers.
  • A technical culture that values rigor, clarity, and architectural craftsmanship.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.